THIRD ADVANCED ENCRYPTION STANDARD CANDIDATE
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数字钥匙协议种类和比较数字钥匙协议是指在数字化环境中用于身份验证和加密通信的一种协议。
这些协议可以确保通信的安全性和保密性,防止未经授权的访问和信息泄露。
以下是几种常见的数字钥匙协议及其比较:1. 对称密钥协议:工作原理:对称密钥协议使用相同的密钥进行加密和解密。
发送方和接收方在通信前必须共享相同的密钥。
种类:DES(Data Encryption Standard)、AES(Advanced Encryption Standard)等。
优点:运算速度快,加密解密效率高。
缺点:密钥分发困难,需要安全地共享密钥,且密钥管理复杂。
2. 公钥加密协议:工作原理:公钥加密协议使用一对密钥,包括公钥和私钥。
公钥用于加密,私钥用于解密。
发送方使用接收方的公钥加密消息,接收方使用自己的私钥解密消息。
种类: RSA(Rivest-Shamir-Adleman)、DSA(Digital Signature Algorithm)等。
优点:不需要共享密钥,密钥分发更容易,安全性较高。
缺点:运算速度相对较慢,适用于加密小量数据。
3. 数字签名协议:工作原理:数字签名协议用于验证信息的完整性和来源。
发送方使用私钥对信息进行签名,接收方使用发送方的公钥验证签名。
种类:DSA、ECDSA(Elliptic Curve Digital Signature Algorithm)等。
优点:能够验证消息的完整性和来源,防止信息被篡改。
缺点:需要对信息进行签名和验证,增加了计算量。
比较:1.安全性:公钥加密协议相对更安全,因为无需共享密钥,减少了密钥泄露的风险。
2.效率:对称密钥协议效率更高,速度更快,适用于大量数据的加密通信。
3.密钥管理:对称密钥协议的密钥管理更复杂,需要安全地共享密钥;而公钥加密协议无需共享密钥,密钥管理更方便。
4.应用场景:对称密钥协议适用于大量数据的加密通信,而公钥加密协议和数字签名协议适用于对通信的安全性和完整性有较高要求的场景,如电子支付、网上银行等。
国际密码算法
国际密码算法是指被广泛应用于保护信息安全的加密算法。
这些算法通过将原始数据转换为加密形式,以防止未经授权的访问者读取或修改数据。
以下是一些常见的国际密码算法:
1. AES(Advanced Encryption Standard):这是一种对称加密
算法,用于加密和解密数据。
它是目前最广泛使用的加密算法之一。
2. RSA(Rivest-Shamir-Adleman):这是一种非对称加密算法,使用公钥和私钥进行加密和解密。
RSA广泛用于数字签名和
密钥交换等应用领域。
3. DES(Data Encryption Standard):这是一种对称加密算法,已被AES取代,但仍然在某些旧系统中使用。
4. 3DES(Triple Data Encryption Standard):这是对DES加密
算法的改进版本,通过多次执行DES算法来提高安全性。
5. Blowfish:这是一种对称加密算法,以其可靠性和快速性而
闻名。
6. MD5(Message Digest Algorithm 5):这是一种哈希函数,
用于生成唯一的128位哈希值,常用于校验文件完整性和密码存储。
7. SHA(Secure Hash Algorithm):这是一系列哈希函数,包括SHA-1、SHA-256、SHA-384和SHA-512等不同的变体,常用于数字签名和消息认证。
总结起来,国际密码算法涵盖了对称加密算法、非对称加密算法、哈希函数等多种加密方式,用于确保数据的保密性、完整性和认证性。
VPN协议的加密算法比较随着网络的发展和应用的普及,信息安全问题也越来越受到关注。
而VPN(Virtual Private Network,虚拟私人网络)作为一种安全和可靠的网络连接方式,被广泛应用于许多领域。
在VPN中,加密算法是保障数据传输安全的关键之一。
本文将比较几种常用的VPN协议的加密算法,包括PPTP、L2TP/IPSec、OpenVPN和WireGuard,以及它们的优缺点。
一、PPTPPPTP(Point-to-Point Tunneling Protocol,点对点隧道协议)是一种较早被广泛应用的VPN协议。
它的加密算法主要使用MPPE (Microsoft Point-to-Point Encryption,微软点对点加密协议)。
MPPE 采用了128位的RC4算法进行数据加密,它在保证数据传输速度的同时,也提供了基本的安全性。
然而,由于RC4算法已经被发现存在漏洞,且PPTP协议本身的安全性也有所争议,因此不推荐在对安全性要求较高的环境中使用PPTP。
二、L2TP/IPSecL2TP/IPSec(Layer 2 Tunneling Protocol over IPsec)是结合了L2TP 协议和IPSec协议的一种VPN技术。
它使用了IPSec协议实现加密和认证,提供了更高的安全性。
IPSec协议可以使用多种加密算法,如DES、3DES、AES等。
AES(Advanced Encryption Standard,高级加密标准)是目前应用最广泛的加密算法之一,它提供了128位、192位和256位三种加密强度,较为安全可靠。
L2TP/IPSec在提供安全性的同时,对网络传输速度会有一定的影响。
三、OpenVPNOpenVPN是一种开源的SSL/TLS VPN解决方案,其加密算法主要使用了SSL/TLS协议。
SSL/TLS协议是一种基于公钥加密体制的安全传输协议,可以使用多种加密算法,如AES、Camellia等。
IPsec协议中的加密算法与密钥协商过程IPsec(Internet Protocol Security)是一种网络协议,用于确保互联网通信的安全性和保密性。
在IPsec协议中,加密算法和密钥协商过程起着至关重要的作用。
本文将探讨IPsec协议中常用的加密算法以及密钥协商过程的原理和流程。
一、IPsec简介IPsec是一种在网络层提供安全服务的协议,可以用于保护网络通信中传输的数据。
它通过在IP数据包的头部添加或修改字段来实现数据的加密和认证。
IPsec协议提供了安全关联(Security Association, SA)的概念,用于管理加密和认证的参数。
二、加密算法在IPsec中,加密算法用于对数据进行加密,保证数据的机密性。
常见的加密算法包括DES(Data Encryption Standard)、3DES(Triple DES)、AES(Advanced Encryption Standard)等。
1. DES(Data Encryption Standard)DES是一种对称加密算法,广泛应用于早期的密码学中。
DES使用一个56位的密钥对64位的数据进行加密和解密。
尽管DES在过去是安全的,但随着计算能力的提高,DES已经不再被认为是一种足够安全的加密算法。
2. 3DES(Triple DES)3DES是DES的增强版,采用了对称密钥的三次应用。
3DES使用3个56位的密钥对数据进行加密和解密,提供了更高的安全性。
3. AES(Advanced Encryption Standard)AES是目前应用最广泛的对称加密算法之一。
它使用不同长度的密钥,包括128位、192位和256位。
AES算法具有快速、高效和强大的安全性。
三、密钥协商过程密钥协商是IPsec中保证通信双方获取共享密钥的过程,用于确保加密的数据只能被合法的接收方解密。
IPsec使用IKE(Internet Key Exchange)协议来实现密钥协商。
aes算法轮密钥AES算法(Advanced Encryption Standard)是一种对称加密算法,用于对敏感数据进行加密和解密。
AES算法采用了分组密码的方式,将明文分割成128位(16字节)的数据块进行加密。
在AES算法中,轮密钥是一个重要的概念,用于对明文数据进行多轮加密。
轮密钥生成算法是AES算法中的一个核心部分,用于生成每一轮的轮密钥。
在AES算法中,密钥长度可以是128位、192位或256位。
轮密钥生成算法的输入是密钥,以及一些常量。
根据输入的密钥长度,轮密钥生成算法会生成一定数量的轮密钥。
具体的轮密钥生成算法如下:1.字节子替代(SubBytes):将轮密钥中的每个字节替换成S盒中对应位置的字节。
S盒是一个固定的非线性映射表,通过对输入的字节进行替换,增加了加密的随机性。
2.行移位(ShiftRows):将轮密钥中的每一行进行循环左移。
第一行不移动,第二行向左移动1个字节,第三行向左移动2个字节,第四行向左移动3个字节。
这一步骤增加了轮密钥中不同字节的依赖关系,增强了加密的混淆性。
3.列混淆(MixColumns):对轮密钥中的每一列进行混淆。
具体的操作是将每一列看作一个4项系数的多项式,然后与固定的矩阵进行乘法运算。
这一步骤增加了轮密钥中不同字节之间的关联性,增强了加密的扩散性。
4.轮密钥加(AddRoundKey):将轮密钥与当前加密状态进行异或运算。
这一步骤将轮密钥中的每个字节与状态矩阵中对应位置的字节进行异或,实现了对状态矩阵中每个字节的加密。
通过不断重复上述四个步骤,可以生成一定数量的轮密钥。
在加密时,每一轮的轮密钥都会与状态矩阵进行异或运算,增加了加密的安全性。
在解密时,轮密钥的使用顺序与加密相反,可以还原出原始的明文数据。
轮密钥在AES算法中扮演了非常重要的角色。
通过轮密钥生成算法生成的轮密钥,可以在加密和解密时用于对数据进行处理,增加了加密的强度和安全性。
轮密钥的生成算法和使用方式被广泛应用于各种AES算法的实现中,是AES算法中的关键步骤之一。
aes解码原理
AES(Advanced Encryption Standard)是一种对称加密算法,它的解码原理与加密原理类似,主要包括密钥扩展、明文处理、字节替换、行移位、列混淆和轮函数等操作。
其中,密钥扩展是为了增强加密算法的强度和减少密钥泄露的风险;明文处理是对明文进行分组处理,分组大小为128位,也就是16字节;字节替换是将明文中的每个字节替换为密钥中的特定字节;行移位是对明文矩阵中的每一行进行循环左移一定位数;列混淆是将明文矩阵中的每一列进行重新组合;轮函数是AES的核心,它通过一系列复杂的操作对明文进行加密。
如果你想了解更多关于AES解码的内容,可以补充更多细节继续向我提问。
2022年职业考证-软考-信息安全工程师考试全真模拟易错、难点剖析AB卷(带答案)一.综合题(共15题)1.单选题访问控制是对信息系统资源进行保护的重要措施,适当的访问控制能够阻止未经授权的用户有意或者无意地获取资源。
计算机系统中,访问控制的任务不包括()。
问题1选项A.审计B.授权C.确定存取权限D.实施存取权限【答案】A【解析】本题考查访问控制方面的基础知识。
计算机系统安全机制的主要目的是访问控制,它包括三个任务:①授权:确定哪些主体有权访问哪些客体;②确定访问权限(读、写、执行、删除、追加等存取方式的组合);③实施访问权限。
答案选A。
2.单选题为了保护用户的隐私,需要了解用户所关注的隐私数据。
当前,个人隐私信息分为一般属性、标识属性和敏感属性,以下属于敏感属性的是()。
问题1选项A.姓名B.年龄C.肖像D.财物收入【答案】D【解析】本题考查用户隐私方面的基础的知识。
敏感属性包括个人财产信息、个人健康生理信息、个人生物识别信息、个人身份信息、网络身份标识信息等。
答案选D。
3.单选题强制访问控制(MAC)可通过使用敏感标签对所有用户和资源强制执行安全策略。
MAC中用户访问信息的读写关系包括下读、上写、下写和上读四种,其中用户级别高于文件级别的读操作是()。
问题1选项A.下读B.上写C.下写D.上读【答案】A【解析】本题考查强制访问控制相关知识。
强制访问控制(MAC)是指系统根据主体和客体的安全属性,以强制的方式控制主体对客体的访问,是一种不允许主体干涉的访问控制类型。
根据MAC的安全级别,用户与访问的信息的读写关系有四种:即:下读(read down):用户级别高于文件级别的读操作。
上写(write up):用户级别低于文件级别的写操作。
下写(write down):用户级别高于文件级别的写操作。
上读(read up):用户级别低于文件级别的读操作。
其中用户级别高于文件级别的读写操作是下读。
故本题选A。
AES加密模式详解AES(Advanced Encryption Standard)是一种对称加密算法,被广泛应用于保护数据的安全性。
AES加密模式是指在使用AES算法进行加密时,可以选择不同的模式来组织数据的分组和加密方式。
以下是常见的AES加密模式的详解。
1. ECB(Electronic Codebook)模式:ECB是最简单的AES加密模式,它将明文分成固定大小的块,每个块独立地进行加密。
同样的明文块将生成相同的密文块,因此ECB模式无法隐藏相同数据块的重复出现,容易受到密码分析攻击的影响。
由于缺乏随机性,ECB模式不适合加密大量数据或需要高度保密的数据。
2. CBC(Cipher Block Chaining)模式:CBC模式在加密过程中使用前一个数据块的密文作为当前数据块的输入,增加了随机性。
首先,需要一个初始向量(Initialization Vector,IV)来作为第一个数据块的输入。
然后,每个明文数据块与前一个密文数据块进行异或操作,再进行加密。
CBC模式可以隐藏数据的模式,且相同的明文块会得到不同的密文块,提高了安全性。
但CBC模式不适合并行加密和解密,因为每个数据块的加密都依赖于前一个数据块的密文。
3. CFB(Cipher FeedBack)模式:CFB模式将AES算法转换为一个自反反馈密码流模式。
首先,需要一个初始向量(IV)来作为第一个密钥流的输入。
然后,将明文与前一个密钥流进行异或操作,并将异或结果进行加密。
加密后的密文作为下一个密钥流的输入。
CFB模式可以实现流加密的效果,可以对任意长度的数据进行加密。
但是由于加密操作依赖于前一个密钥流的输出,CFB模式不适合实时数据流的加密。
4. OFB(Output FeedBack)模式:OFB模式将AES算法转换为一个输出反馈密码流模式。
首先,需要一个初始向量(IV)来作为第一个密钥流的输入。
然后,将初始向量进行加密,得到密钥流。
信息安全技术初赛题库一、判断题1. OSI 安全框架是对OSI 安全体系结构的扩展。
(对)2. OSI 安全框架目标是解决“开放系统”中的安全服务。
(对)3. OSI 安全框架中的安全审计框架目的在于测试系统控制是否充分(对)4. OSI 安全框架中的安全审计框架描述了如何通过访问控制等方法来保护敏感数据,提出了机密性机制的分类方法,并阐述了与其他安全服务和机制的相互关系。
(错)5. 访问控制的一个作用是保护敏感信息不经过有风险的环境传送(对)6. 数据机密性就是保护信息不被泄漏或者不暴露给那些未经授权的实体(对)7. 数据机密性服务可分为两种:数据的机密性服务和业务流机密性服务。
前者使得攻击者无法通过观察网络中的业务流获得有用的敏感信息;后者使得攻击者无法从获得的数据中获知有用的敏感信息。
(错)8. 密码技术是信息安全的核心技术和支撑性基础技术,是保护信息安全的主要手段之一(对)9. 密码技术是信息安全的核心技术和支撑性基础技术,是保护信息安全的唯一手段(错)10. 在实践中,访问控制功能只能由某一特定模块完成(错)11. 访问控制机制介于用户(或者用户的某个进程)与系统资源(包括应用程序、操作系统、防火墙、路由器、文件以及数据库等)之间。
(对)12. 访问控制的作用只能防止部分实体以任何形式对任何资源进行非授权的访问(错)13. 侧信道技术指利用密码设备在密码算法执行过程中产生的其他信息,如能量消耗变化、电磁辐射变化等非通信信道物理信息分析的硬件安全技术,主要分为能量分析、计时分析、错误注入和电磁泄漏等几大类攻击技术(对)14.物理与硬件安全是相对于物理破坏而言的(对)15. 网络安全技术主要包括网络攻击技术和网络防御技术(对)16. 网络安全技术只包括网络防御技术(错)17. 网络安全技术为网络提供了安全,同时实现了对网络中操作的监管。
(对)18. 任何信息网络存在的目的都是为某些对象提供服务,我们常常把这些服务称为应用。
阿特巴希加密法
阿特巴希加密法是一种基于对称密钥加密算法的加密方法,也被称为“高级加密标准”(Advanced Encryption Standard,AES)。
它
是由比利时密码学家Joan Daemen和Vincent Rijmen所设计的,于2001年被美国联邦政府选为官方的加密标准。
阿特巴希加密法以128位、192位或256位的密钥长度为基础,将明文分成128位的块,通过一系列的转换和代换操作,将其转化为密文。
由于阿特巴希加密法拥有高强度的加密能力和较快的执行速度,因此广泛应用于计算机网络和信息安全领域。
阿特巴希加密法的密钥长度越长,破解难度就越大,因此在实际应用中,通常选择256位的密钥长度以确保安全性。
同时,在加密过程中需要注意选择合适的加密模式和填充方式,以避免出现安全漏洞。
总之,阿特巴希加密法是一种安全、高效的加密算法,在信息传输、数据库保护等领域都发挥着重要的作用。
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加密技术的原理及应用1. 什么是加密技术?加密技术是一种将信息转化为无意义或难以理解的形式的方法,以保护其机密性和完整性。
通过对原始信息进行加密,只有授权的人员能够解密并获得其中的内容。
加密技术在现代通信和信息安全领域中得到广泛应用,包括在数据传输、存储和处理过程中。
2. 加密技术的基本原理2.1 对称加密对称加密是一种加密方式,使用相同的密钥进行加密和解密。
发送方使用密钥对原始信息进行加密,并将密文发送给接收方。
接收方收到密文后,使用相同的密钥对其进行解密以获取原始信息。
对称加密的优点是速度快,但缺点是密钥的分发和管理相对困难。
常见的对称加密算法有 DES (Data Encryption Standard)、AES (Advanced Encryption Standard) 等。
2.2 非对称加密非对称加密是一种加密方式,使用一对密钥,其中一个用于加密,另一个用于解密。
发送方使用接收方的公钥进行加密,而接收方使用自己的私钥进行解密。
非对称加密的优点是密钥的分发和管理相对简单,但缺点是速度比对称加密要慢。
常见的非对称加密算法有 RSA (Rivest-Shamir-Adleman)、DSS (Digital Signature Standard) 等。
2.3 哈希函数哈希函数是一种将任意长度的原始数据转换为固定长度摘要的函数。
通过将原始数据经过哈希函数的转换,可以得到摘要,该摘要具有唯一性且不可逆。
哈希函数常用于验证数据的完整性和身份认证。
常见的哈希函数有 MD5、SHA-1、SHA-256 等。
3. 加密技术的应用3.1 数据传输加密数据传输加密是指在数据从发送方传输到接收方的过程中,使用加密技术对数据进行保护。
这样做可以防止被未授权的人员截获和窃取数据信息。
常见的应用包括 HTTPS 协议、VPN 等。
3.2 存储数据加密存储数据加密是指将数据在存储介质上进行加密,以保护数据的机密性。
即使存储介质被未授权的人员获取,也无法获取其中的明文数据。
各种加解密算法比较加解密算法是信息安全领域中的重要组成部分,它们用于保护敏感数据的机密性和完整性。
不同的加解密算法具有不同的特点和应用场景。
本文将比较常见的几种加解密算法,包括对称加密算法(如DES、AES)、非对称加密算法(如RSA、ECC)、哈希函数算法(如MD5、SHA-256),以及它们的优劣势。
1.对称加密算法对称加密算法使用相同的密钥对数据进行加密和解密,速度快,适合大数据量的加密。
常见的对称加密算法有:- DES(Data Encryption Standard):首个商用加密算法,使用56位密钥,安全性相对较低;- AES(Advanced Encryption Standard): 现代对称加密算法,使用128、192或256位密钥,安全性较高,被广泛应用。
对称加密算法的优势是加解密速度快,适用于大量数据加密,但密钥分发和管理较为困难。
2.非对称加密算法非对称加密算法使用一对密钥(公钥和私钥)进行加密和解密,安全性较高,但加解密速度较慢。
常见的非对称加密算法有:- RSA(Rivest-Shamir-Adleman): 由三位密码学家发明,安全性高,应用广泛,但对于长文本加密性能较差;- ECC(Elliptic Curve Cryptography): 使用椭圆曲线算法,具有相当于RSA更短密钥长度的安全性。
非对称加密算法的优势是通过分发公钥实现安全通信,但速度较慢,且密钥管理较为复杂。
3.哈希函数算法哈希函数算法将任意长度的输入数据映射为固定长度的哈希值,常用于验证数据完整性。
- MD5(Message Digest Algorithm-5): 生成128位哈希值,安全性较弱,已被广泛攻破,主要应用于校验文件完整性;- SHA-2(Secure Hash Algorithm-2): 包括SHA-224、SHA-256、SHA-384和SHA-512,安全性较高,被广泛应用。
三、名词解释题:1、数字证书?答:数字证书是一种权威性的电子文文件,由权威公正的第三方机构,即CA中心签发的证书。
它以数字证书为核心的加密技术可以对网络上传输的信息进行加密和解密、数字签名和签名验证,确保网上传递信息的机密性、完整性。
2、防火墙?P181答:防火墙是置于两个网络之间的一组构件或一个系统,具有以下属性:(1)防火墙是不同网络或网络安全域之间信息流通过的唯一出入口,所有双向数据流必须经过它;(2)只有被授权的合法数据,即防火墙系统中安全策略允许的资料,才可以通过;(3)该系统应具有很高的抗攻击能力,自身能不受各种攻击的影响。
3、数字签名技术?答:4、入侵检测?P157答:入侵检测(Intrusion Detection)是对入侵行为的发觉。
它从计算机网络或或计算机系统的关键点收集信息并进行分析,从中发现网络或系统中是否有违反安全策略的行为和被攻击的迹象。
5、分组密码?P22答:分组密码是将明文消息编码后表示的数字(简称明文数字)序列x0,x1,x2,…,划分成长度为n的组x=(x0,x1,x2,…xn-1)(可看成长度为n的向量),每组分别在密钥k=(k0,k1,k2,…kn-1),其加密函数是E:Vn×K→Vn,Vn是n维向量空间,K为密钥空间。
6、序列密码答:序列密码也称为流密码(Stream Cipher),它是对称密码算法的一种。
流密码对明文加解密时不进行分组,而是按位进行加解密。
流密码的基本思想是利用密钥k产生一个密钥流:z=z0z1…,并使用如下规则加密明文串x=x0x1x2…,y=y0y1y2…=ez0(x0)ez1(x1)ez2(x2)…。
密钥流由密钥流发生器f产生:zi=f(k,σi),这里的σi是加密器中的存储元件(内存)在时刻i的状态,f是由密钥k和σi产生的函数。
7、DES?P26答:DES,Data Encryption Standard,数据加密标准,是分组长度为64比特的分组密码算法,密钥长度也是64比特,其中每8比特有一位奇偶校验位,因此有效密钥长度是56比特。
IPSec加密算法:了解DES、3DES、AES等常用方法随着互联网的快速发展,人们对信息安全的需求越来越迫切。
而IPSec(Internet Protocol Security)协议就是为了满足这一需求而设计的一种网络安全技术。
在IPSec中,加密算法是非常重要的一部分,常见的加密算法包括DES、3DES和AES。
本文将对这些常用的加密算法进行深入探讨。
一、DES加密算法DES(Data Encryption Standard)是一种对称加密算法,它采用56位密钥对64位的数据进行加密和解密。
DES算法的密钥长度相对较短,已经逐渐被认为不再安全,因此在实际应用中使用的并不多。
然而,了解DES算法仍然有助于我们理解后续算法的发展。
DES算法的加密过程主要分为初始置换、16轮迭代加密和逆初始置换三个步骤。
初始置换通过重排位的方式改变数据的顺序,增加了加密的复杂性。
16轮迭代加密通过重复应用S盒和P盒混淆和置换数据,进一步增加了加密的强度。
最后,逆初始置换将加密过程反转,得到最终的加密结果。
尽管DES算法的密钥长度较短,但由于其设计和应用的广泛性,仍然有很多货币、国防等敏感领域在使用DES算法来保护数据的安全。
二、3DES加密算法3DES是对DES算法的增强和改进,它使用了3个不同的56位密钥来对数据进行三次加密。
3DES在安全性上相对于DES有较大的提升,同时仍然保持了DES算法的结构和兼容性。
3DES算法具有多种工作模式,最常用的是ECB(Electronic Codebook)和CBC(Cipher Block Chaining)。
ECB模式下,将输入数据分成固定长度的小块进行加密,每个小块的加密过程是完全独立的,相同的输入将得到相同的输出。
CBC模式下,每个小块的加密依赖于前一个小块的加密结果,增加了加密的连续性。
尽管3DES在安全性上有一定提升,但由于DES的限制以及3DES算法的复杂性,AES算法逐渐取代了3DES成为更安全和高效的加密算法。
aes芯片AES芯片,全称高级加密标准(Advanced Encryption Standard),是一种对称密钥加密算法。
它是美国国家标准技术研究所(NIST)于2001年发布的一种加密标准,用于替代原有的Data Encryption Standard(DES)算法。
AES芯片是一种专门设计用于加密和解密数据的硬件设备。
它被广泛应用于各种领域,包括电子支付、电子政务、网络通信、智能卡以及数据存储等。
AES芯片的核心是电路设计和密码学算法,它能够快速、高效地对数据进行加密和解密,保证数据的安全性和机密性。
AES芯片采用的是对称密钥加密算法,即加密和解密使用相同的密钥。
它使用固定长度的密钥(128位、192位或256位),以固定大小的数据块(128位)为单位进行加密。
AES 算法采用轮密钥加算法,将数据块进行多轮迭代加密,每一轮都使用不同的子密钥进行混淆和置换操作,最终得到密文。
AES芯片具有以下几个主要特点:1. 安全性强:AES算法经过了广泛的安全分析和验证,被认为是较为安全的加密算法之一。
它具有很高的防抵御密码分析攻击的能力,能够有效保护数据的安全性。
2. 速度快:AES芯片采用硬件设计实现算法,相较于软件实现更加高效。
它能够在很短的时间内对大量数据进行加密和解密操作,满足高速数据处理的需求。
3. 灵活性强:AES芯片支持多种密钥长度的选择,根据不同的应用场景和安全需求可以选择128位、192位或256位的密钥长度。
同时,AES芯片还支持多种工作模式,包括电子密码本模式(ECB)、密码分组链接模式(CBC)等,提供了更多的加密方案。
4. 兼容性好:AES算法已经成为许多标准和协议的基础,得到广泛的应用和支持。
AES芯片与各种硬件和软件平台兼容性良好,可以方便地集成到各种系统中。
AES芯片在现代信息安全的保护中发挥着重要的作用。
它能够保护敏感数据不被未经授权的访问,确保数据的完整性和机密性。
IPsecESP协议IPsec(Internet Protocol Security)是一种用于保护互联网传输的安全协议,它通过对传输的数据进行加密和身份验证,确保数据在传输过程中的安全性和完整性。
在IPsec协议中,ESP(Encapsulated Security Payload)是一个重要的子协议,用于数据加密和认证。
本文将详细介绍IPsecESP协议的原理和应用。
一、IPsecESP协议的原理IPsecESP协议主要通过两个关键机制来保证数据的安全传输:加密(Encryption)和认证(Authentication)。
1. 加密机制:加密是IPsecESP协议的核心功能,它用于保护数据的机密性。
IPsecESP协议使用对称密钥加密算法,如AES(Advanced Encryption Standard)或3DES(Triple Data Encryption Standard),对传输的数据进行加密。
加密后的数据只有在传输目的地处将被解密,从而保护数据在传输过程中不被窃听或篡改。
2. 认证机制:认证是IPsecESP协议的另一个重要功能,它用于确保数据的真实性和完整性。
IPsecESP协议使用HMAC(Hash-based Message Authentication Code)算法,如SHA-256,对数据进行认证。
发送方在发送数据之前对数据进行哈希运算,然后将哈希值附加到数据之后一同传输。
接收方在接收到数据后,进行相同的哈希运算,并与接收到的哈希值进行比较,从而验证数据的完整性和真实性。
二、IPsecESP协议的应用IPsecESP协议广泛应用于保护互联网络传输中的敏感数据,主要有以下几个方面的应用。
1. 远程访问VPN(Virtual Private Network):远程访问VPN是通过公共网络建立起私密通信通道,以实现用户与内部网络的安全远程访问。
IPsecESP协议可用于保护远程访问VPN 中的数据传输,确保用户在互联网上的数据传输安全可靠。
无线网络安全模式随着无线网络的普及和应用,无线网络安全问题也越来越受到关注。
为了保护无线网络的安全,人们提出了多种无线网络安全模式。
本文将介绍几种常见的无线网络安全模式:WEP、WPA、WPA2和WPA3。
首先介绍WEP(Wired Equivalent Privacy)模式。
WEP模式是最早出现的无线网络安全模式。
它使用的是128位的加密密钥,通过这个密钥对数据进行加密和解密。
但是WEP模式存在着很大的安全漏洞,可以通过简单的破解方法轻松获取密钥。
因此,现在已经很少使用WEP模式来保护无线网络安全。
接下来介绍WPA(Wi-Fi Protected Access)模式。
WPA模式是对WEP模式的改进和增强。
它引入了一个动态的加密密钥,可以定期更换密钥,增加了无线网络的安全性。
WPA模式还引入了预共享密钥(Pre-shared Key)或802.1X认证,可以控制无线网络的访问权限。
相比于WEP模式,WPA模式的安全性更高,但仍存在一些安全漏洞。
然后介绍WPA2(Wi-Fi Protected Access 2)模式。
WPA2模式是对WPA模式的进一步改进。
它使用更加安全的AES (Advanced Encryption Standard)加密算法,提供了更高的无线网络安全性。
WPA2模式还增加了支持802.11i标准和EAP (Extensible Authentication Protocol)认证。
WPA2模式目前被广泛应用于无线网络中,是目前比较安全的无线网络安全模式。
最后是WPA3模式。
WPA3模式是对WPA2模式的最新改进。
相比于WPA2模式,WPA3模式引入了更加安全的SAE (Simultaneous Authentication of Equals)加密算法,增加了无线网络的安全性。
WPA3模式还增加了Wi-Fi Easy Connect功能,简化了设备之间的连接过程。
不过,目前WPA3模式的应用还比较少,仍然处于发展阶段。
移动通信安全加密移动通信安全加密移动通信安全加密是指在移动通信中应用加密技术来保护通信数据的安全性。
随着移动通信的普及和发展,移动通信安全成为一个重要的话题。
本文将介绍移动通信安全加密的相关概念、常用加密算法以及应用场景。
1. 概念移动通信安全加密是通过使用各种加密算法来对通信数据进行加密,以保护通信数据的机密性、完整性和可用性。
移动通信安全加密的目标是防止未经授权的个人或组织获取、窃取或修改通信数据。
在移动通信中,主要的安全威胁包括信息泄露、信息窃听、身份伪装和数据篡改。
为了应对这些威胁,移动通信安全加密采用了一系列的技术和方法,包括加密算法、密钥管理和安全协议等。
2. 常用加密算法2.1 对称加密算法对称加密算法是一种使用相同密钥进行加密和解密的加密算法。
常用的对称加密算法有DES(Data Encryption Standard)、AES (Advanced Encryption Standard)、RC4(Rivest Cipher 4)等。
对称加密算法的优点是加密和解密速度快,适用于大量数据的加密和解密。
缺点是密钥管理困难,需要确保密钥的安全传输和存储。
2.2 非对称加密算法非对称加密算法是一种使用不同密钥进行加密和解密的加密算法。
常用的非对称加密算法有RSA(Rivest-Shamir-Adleman)、DSA(Digital Signature Algorithm)等。
非对称加密算法的优点是密钥管理方便,只需要确保私钥的安全即可。
缺点是加密和解密速度较慢,适用于少量数据的加密和解密。
2.3 散列函数散列函数是一种通过对输入数据进行计算得到固定长度的输出值的函数。
常用的散列函数有SHA-1(Secure Hash Algorithm 1)、MD5(Message Digest Algorithm 5)等。
散列函数的特点是不可逆,即不能通过输出值反推输入数据。
散列函数常用于验证数据的完整性,例如数字签名和消息认证码等。
Conference ReportTHIRD ADVANCED ENCRYPTION STANDARD CANDIDATE CONFERENCENew York, NYApril 13-14, 2000Report prepared by Morris Dworkin1. IntroductionOn April 13-14, 2000, over two hundred members of the global cryptographic research community gathered in New York City for the Third Advanced Encryption Standard Candidate Conference (AES3). This report summarizes the conference presentations and accompanying discussions. AES3 was the third of three conferences sponsored by the National Institute of Standards and Technology (NIST) in its effort to develop a new encryption standard for the U.S. Government. At this stage of the development effort, there were five finalist candidate algorithms. The main purpose of the conference was to advise NIST in the selection of one or more of these finalists for inclusion in the standard.The five finalist algorithms are MARS, RC6™, Rijndael, Serpent, and Twofish. MARS was submitted by the International Business Machines Corporation (U.S.). RC6 was submitted by RSA Laboratories (U.S.). Rijndael was submitted by Joan Daemen and Vincent Rijmen (Belgium). Serpent was submitted by Ross Anderson (U.K.), Eli Biham (Israel), and Lars Knudsen (Norway). Twofish was submitted by Bruce Schneier, John Kelsey, Doug Whiting, David Wagner, Chris Hall, and Niels Ferguson (U.S.).The goal of this development process is to produce a Federal Information Processing Standard (FIPS) for an Advanced Encryption Standard (AES) specifying an Advanced Encryption Algorithm (AEA), for use by the U.S. Government and, on a voluntary basis, by the private sector. According to NIST’s formal call for algorithms, published on September 12, 1997: It is intended that the AES will specify an unclassified, publicly disclosedencryption algorithm available royalty-free worldwide that is capable of protectingsensitive government information well into the next century. [1]NIST requires the AES to be a symmetric key block cipher that, at a minimum, supports ablock size of 128-bits and key sizes of 128, 192, and 256 bits. The AES is expected to* U.S. Government work not protected by copyright. Mention of commercial products does not constitute endorsement by NIST.1succeed the Data Encryption Standard (DES), whose 56-bit key is becoming vulnerable to exhaustive search.NIST maintains an AES homepage at /aes. See also [2] for a thorough discussion of the AES development process and a summary of the First AES Candidate Conference, including brief technical descriptions of the candidate algorithms.See [3] for a summary of the Second AES Candidate Conference.2.Welcome and OverviewEdward Roback, the Chief of the Computer Security Division of NIST’s Information Technology Laboratory, opened the proceedings on behalf of NIST. He welcomed the attendees to AES3 and thanked them for their participation in the process, expressing satisfaction at the turnout (230 registered participants representing at least 26 countries) and the number of papers to be presented (24). He said that he looked forward to receiving public comments, to be accepted up to May 15, 2000, and moving forward in the selection of the AES.James Foti, a mathematician from NIST’s Computer Security Division, outlined the program for the conference. There were three general conference goals: to present the Round 2 analysis of the AES candidates, to discuss relevant issues, and, especially, to provide NIST with a clearer understanding of which of the five finalist algorithms should be proposed for inclusion in the AES FIPS and which should not. The conference would address the three main criteria that NIST originally identified for evaluating the algorithms: security, efficiency, and flexibility. In addition, other issues relevant to the AES would be discussed, such as the possibility of proposing more than one algorithm for inclusion in the standard.The conference was organized into eight sessions. On the first day, Session 1 was devoted to Field Programmable Gate Array (FPGA) evaluations; Session 2, to platform-specific evaluations; Session 3, to survey evaluations; and Session 4, to cryptographic properties and analysis. On the second day, Session 5 was a continuation of Session 4. Session 6 was devoted to a panel and audience discussion of AES issues; Session 7, to Application Specific Integrated Circuit (ASIC) evaluations and individual algorithm testing; and Session 8, to presentations from the submitters of the five finalist algorithms, followed by audience questions and discussion. In addition, Foti invited the attendees to submit proposals for short talks for a recent-results (“rump”) session on the evening of the first day.3.FPGA EvaluationsThe first speaker, Adam Elbirt, spoke about the work at the Cryptography and Information Security Group at Worcester Polytechnic Institute to implement four of the five finalists (all except MARS) in FPGA hardware. Elbert first motivated the use of FPGAs for cryptographic applications: FPGA hardware was reconfigurable, so it gave flexibility to modify or replace algorithms. Moreover, for small-scale production, FPGAs were more cost effective than ASICs,2and they offered greater throughput than software. After a brief technical summary of FPGAs in general, Elbirt explained the particular technology that the group had chosen for its study: the Xilinx Virtex XCV 1000BG560-4. They deliberately chose the high-end FPGA technology of today, expecting that over the lifespan of the AES it would be a typical device.He explained the group’s design methodology. They had chosen to implement encryption (but not decryption), under 128 bit keys; they assumed that the key scheduling occurred externally and that all the subkeys were stored in internal registers; however, if necessary, the device could be reconfigured to include the key schedule or decryption functions. They used Very High Speed Integrated Circuit (VHSIC) Hardware Description Language (HDL), i.e., VHDL, with “bottom-up” design and test methodology. He noted that the results of the study depended heavily on the synthesis and place-and-route tools, similar to the variations in software performance that occur due to compiler options or the use of C versus assembly language. The designs focused on high performance, as measured by throughput. He emphasized that if one wanted to compare the algorithms according to other measures, such as area or throughput per area, the architectures should be modified and the tools should be rerun with appropriate optimization settings.He discussed several implementation architectures that the group had explored: iterative looping, iterative looping with partial loop unrolling, full loop unrolling, pipelining, and sub-pipelining. He then discussed the technical details for each finalist. The conclusions were that, evaluated according to throughput, Serpent exhibited by far the best performance in both feedback and non-feedback modes of operation. For non-feedback modes, the performance results for RC6, Rijndael, and Twofish were similar, but in feedback modes, Rijndael outperformed RC6 and Twofish. Each of the four algorithms in the study easily achieved Gigabit encryption rates in non-feedback modes.Asked why MARS had not been included, Elbirt said that they had run out of time. An attendee observed that key setup time also would be important to consider; moreover, even though the implementations were optimized for throughput, area constraints did, in fact, affect the results. Following up, the chair of session, Craig Clapp, asked how specific the conclusions were to the particular chip studied. Elbirt expected that on hardware with more resources, full pipelining would be possible for RC6, Rijndael, and Twofish, and thus their performance would improve relative to Serpent. An attendee observed that Serpent might also benefit from increased area. The second speaker of the session was Nicholas Weaver, of the Reconfigurable Architectures, Systems, and Software group of the University of California at Berkeley. The talk presented a theoretical analysis of hand-crafted designs of the finalists in hardware. Actual implementations were not used because he wanted to avoid the performance artifacts that would have been introduced by Hardware Design Language synthesis, as pointed out in the previous talk, and because specifying and laying out the datapath by hand would have taken considerable time and effort. The work was oriented toward the Xilinx Virtex FPGA family—although he claimed it applied to ASICs, as well—with a target clock cycle rate of 50 MHz.3Weaver first discussed the design factors of area, latency, bandwidth, and subkey setup, and then he summarized each finalist with respect to these criteria. He called MARS a very poor choice, because it had very poor latency, moderately heavy area requirements, and very slow key setup. He called RC6 a poor choice: although its area was reasonable, it had moderately high latency and very slow key setup. He called Rijndael a good choice, because it was reasonably compact, and it had great latency and bandwidth, although it required block RAM or similar memory, and required mostly separate pipelines for encryption and decryption. He called Serpent a fair choice. Its advantages were its very good latency and bandwidth, and it did not require block RAM. Serpent’s disadvantages were high initial cost—unless at least eight rounds could be implemented, performance would suffer—key generation that was area expensive, and the requirement for separate encryption and decryption pipelines. He called Twofish a good choice, because it had good latency and bandwidth, its implementation was compact, it did not require block RAM, and it had great subkey generation.An attendee pointed out a straightforward method for improving the efficiency of the generation of the decryption subkeys in Serpent; in response, Weaver conceded that the evaluation of subkey performance for Serpent on his summary graph should be upgraded.The third speaker of the session was Kris Gaj, of George Mason University, who also presented a comparison of the performance of the five AES finalists in reconfigurable hardware. There were two sets of target FPGA devices: for high performance, the Virtex-XCV 1000 family; for low cost, the XC4000XL family. He presented the methodology and tools for the study: the algorithms were coded in VHDL, the code was verified, and then, as in the first study, synthesis and place-and-route simulation tools were applied. Two basic assumptions were that encryption and decryption shared as many resources as possible when this did not impose a significant speed penalty, and that all subkeys were generated on the chip and stored in memory inside of Configurable Logic Blocks, rather than embedded RAM.After discussing the five implementation architectures that were considered for the study, Gaj presented results for both families of devices, using both feedback and non-feedback modes of operation. For feedback modes, he asserted that throughput should be the primary basis for comparison, while for non-feedback modes, in which all ciphers could achieve the same throughput, he asserted that area should be the criterion. Serpent and Rijndael’s throughput in feedback modes was more than twice that of the other finalists, a result confirmed by three independent groups of researchers. For non-feedback modes, his study showed that Serpent, Twofish, and Rijndael are the most cost-efficient and require about the same area; however, there was no agreement among the three studies on methodology and architecture, so more data was needed.4.Platform-Specific EvaluationsJohn Worley, of Hewlett Packard Labs, spoke on the performance of the AES finalists for actual implementations on a PA-RISC microprocessor (the PA-8500) and for simulations on a4“snapshot” of the design of the upcoming IA-64 microprocessor (McKinley chip). Both processors support multiple instructions per clock cycle. The algorithms were implemented with hand-tuned assembly code, focusing on 128 bit keys. He concluded that all of the finalists have reasonable implementations. According to his summary, Rijndael offered the best performance, followed by RC6 and Twofish, then MARS, and then Serpent. In memory usage, RC6 was ranked first (i.e., lowest), followed, in order, by Serpent, MARS, Twofish, and Rijndael. He asserted that architectures of the future would be increasingly parallel over the lifetime of the AES, so he recommended that parallelism be a factor in the performance evaluation of the finalists. For parallelism, Rijndael was judged the best, followed, in order, by Twofish, Serpent, MARS, and RC6.The second speaker of the session was Richard Weiss, of the Compaq Computer Corporation. He presented a comparison of the AES finalists on the Alpha 21264 microprocessor, a superscalar processor that can issue four integer instructions per cycle. The study considered how the parallelism of the processor could be used to encrypt multiple, independent streams of data. For single stream timings, the five algorithms were implemented for 128 bit keys with Brian Gladman’s C code, which was modified for multiple stream timings. For single stream timings, the results agreed closely with those of Granboulan: Rijndael required the fewest clock cycles, followed closely by Twofish. RC6 and then MARS were somewhat slower, followed by Serpent, which was two or three times slower than the other four algorithms. For two stream timings, the order of the algorithms was the same, but Serpent showed a significant speedup, and RC6 showed a moderate speedup.The next speaker, Fumihiko Sano, of the Toshiba System Integration Technology Center, presented an evaluation of the AES finalists on a high-end smart card. Specifically, the finalists were implemented on the T6N55 chip, which supplements its CPU, the Z80 microprocessor, with a cryptographic coprocessor. Subkeys were generated on-the-fly for Rijndael, Serpent, and Twofish. He discussed some technical details of the implementations, and presented data for the ROM, RAM, and throughput of the finalists and also DES and Triple DES. He concluded that in ROM, Rijndael and RC6 were as small as Triple DES, and in throughput, Rijndael and Twofish exceeded Triple DES.Thomas Wollinger, of the Cryptography and Information Security Group at Worcester Polytechnic Institute, spoke on the suitability of the AES finalists on a high-end digital signal processor (DSP), the TMS320C62x DSP. The implementations of the five finalists were coded in C and rewritten in an unrefined form of assembly language, for both single-block and multi-block modes of operation, optimized for speed, with 128 bit keys. He presented the performance data from the study. He concluded that in single-block mode, the leading performer was Rijndael, followed by RC6, and in multi-block mode, the leading performer was Twofish, also followed by RC6.Kazumaro Aoki, of NTT Laboratories, spoke about implementations of four of the finalists (all but Serpent) on the Pentium II processor using optimized assembly language code. Speedups5over the results of other analysts ranged from 8% to 26%. The study showed that the matrix math extension (MMX) instructions available on the Pentium II could efficiently be used to speedup Rijndael, but they were only moderately useful for the other three ciphers in the study. He concluded that on the platform studied, RC6 and Rijndael were extremely fast, MARS and Twofish were very fast, and he estimated that Serpent would be fairly fast.5.Survey EvaluationsDoug Whiting, of Hi/fn, Inc., presented an updated version of a paper that the Twofish team presented at the second AES conference, which collected and summarized software performance data on the AES finalists from various websites. Results were drawn from implementations on a variety of processor families, coded in C and assembly language, for all of the key sizes. The general trend was that, although the numbers had improved, the conclusions to draw from them were similar to the first paper. Serpent was uniformly the slowest of the finalists in software, and Rijndael and Twofish were typically among the fastest. The results for MARS and RC6 were somewhat worse than the results for Rijndael and Twofish unless the given platform supported the operations of multiplication and variable rotation. (As an aside, Whiting observed that the trend appeared to be against the inclusion of those operations in the next generation of high-speed CPUs.) For encrypting small numbers of blocks, Rijndael’s performance was outstanding, because that setting magnified the effect of its fast key schedule. Rijndael’s performance degraded somewhat for the higher key sizes but remained relatively fast.Whiting also presented slides on a topic unrelated to the survey paper, namely, key agility in hardware. In some hardware applications, it might be necessary to support tens of thousands of security associations. For relatively small packets, unless the key schedule could be computed on-the-fly, the necessity to precompute and store all of the subkeys would impose a significant additional cost. The key schedules of Rijndael, Serpent, and Twofish could be computed on-the-fly, with a minimal number of gates. By contrast, he asserted that the key schedules of MARS and RC6 would have to pay performance penalties equivalent to the encryptions of 10+ and 9 blocks, respectively. An attendee pointed out that for RC6, this number could be reduced if certain “heading” states in the key schedule were precomputed.Lawrence Bassham, of NIST’s Computer Security Division, spoke about NISTs testing of the submitted C code for the finalists on a variety of combinations of processors, memory, operating systems, and compilers. He explained the methodology and presented timing results for each of the three key sizes for both encryption/decryption and key setup. He concluded with general comments on each finalist, emphasizing that these results should be weighed with results from other implementations and analysis. RC6 performed well in both key setup and encryption. For Rijndael, encryption time varied for the different key sizes, but the key setup time was clearly the best among the finalists. For MARS, key setup was average, and encryption time ranged from average to above average. Twofish had poor key setup time and average encryption times. Serpent had poor encryption times and below average key setup times.6Bassham also summarized NIST’s testing of the submitted Java™ code for the finalists on the NIST reference platform, using the Java Development Kit (JDK) Version 1.3 with Just-In-Time (JIT) compilation. For encryption/decryption under 128 bit keys, Rijndael, RC6, and MARS were the fastest algorithms; for the higher key sizes, Rijndael’s results dipped below those of RC6. In key setup for 128 bit keys, RC6, MARS, and Rijndael were the fastest algorithms.The last speaker of the session was Andreas Sterbenz, of the Institute for Applied Information Processing and Communications at the University of Technology in Graz. He presented a paper analyzing the performance of the finalists for the authors’ independently developed Java implementations. The code was compiled using JDK 1.1.7 with JIT, and it was run on a platform that is very similar to the NIST reference platform. RC6 had the highest throughput; MARS, Rijndael (for 128 bit keys), and Twofish had almost identical throughput; Serpent trailed significantly, although still with reasonable performance. Rijndael’s performance suffered at the higher key sizes. In key setup, Rijndael was the fastest, followed, in order, by Serpent, RC6, MARS, and Twofish. He asserted that the results were in line with implementations coded in C and assembly language. Discrepancies compared to other Java studies could be attributed to inconsistent quality of the sumbitters’ Java code with respect to certain optimizations.6.Cryptographic Properties and AnalysisJohn Kelsey, of Counterpane Internet Security, Inc., presented several attacks on reduced-round variants of MARS. For any cipher, it was standard cryptographic practice to try to build up to attacks on the full cipher by first attacking variants with reduced numbers of rounds. In the case of MARS, he observed that it was not obvious how to define reduced-round variants because MARS’s structure consisted of different kinds of rounds: 16 keyed rounds of the cryptographic core within a “wrapper” of 16 unkeyed mixing rounds and whitening. His talk focused on one of two attacks on a MARS variant consisting of 5 core rounds with the full wrapper; the attack required 250 known plaintexts, 2247 partial encryptions, and 2197 bytes of memory. There were also attacks on a MARS variant consisting of 11 core rounds without any wrapper, and another variant consisting of 6 core rounds with the wrapper reduced to 6 rounds. None of the attacks were realistic to carry out. He concluded that it was difficult to evaluate the security of MARS, and the present work was a first step in developing attack methods appropriate to its structure. Vladimir Furman, of Technion, presented two impossible truncated differentials on 8 rounds of the MARS cryptographic core. The construction was based on a 3 round truncated difference that occurred with probability 1, and the analysis used both additive differences and XOR differences. He expected that the impossible differentials could be used to attack a variant of MARS with 9 or 10 core rounds, although no such attack was described.Tadayoshi Kohno, of Reliable Software Technology, presented attacks on reduced-round variants of Serpent. Several types of attacks were considered in the paper: meet-in-the-middle, differential, boomerang, and amplified boomerang attacks, on variants of Serpent with 7, 8, and 9 rounds. The amplified boomerang attack on the variant with 9 rounds required 2110 chosen7plaintexts and a work factor of 2252. None of the attacks were realistic to carry out. He concluded that the results constituted only a preliminary step in the cryptanalysis of Serpent, as 9 rounds was clearly very far from the full 32 rounds.The session on cryptographic analysis and properties continued the following morning, when Stefan Lucks, of the University of Mannheim, presented attacks on 7 round variants of Rijndael under the two larger key sizes. The attacks were based on the “Square attack,” a truncated differential attack on a 6 round variant of Rijndael that was described in the Rijndael submission. Lucks extended the attack by guessing all the subkey values for an additional round and by exploiting minor weaknesses in the Rijndael key schedule. The attacks required 2184 and 2200 partial encryptions under 192 bit and 256 bit keys and the encryption of 232 chosen plaintexts. Also, as Lucks had reported at the FSE2000 conference earlier in the week, his techniques could be combined with those employed by the Twofish team against Rijndael. As a result, an 8 round variant of Rijndael under 192 bit keys could be attacked, but the attack was only 16 times faster than exhaustive key search.Henri Gilbert, of France Télécom R&D, also presented attacks on 7 round variants of Rijndael. Like the Square attack, the attacks used truncated differentials to exploit the byte oriented structure of Rijndael; however, the attacks were based on a new, efficient method for distinguishing 4 inner rounds of Rijndael from a random function. The distinguisher relied on the existence, experimentally confirmed, of expected collisions in a certain function induced by the cipher. Under the two larger key sizes, the attacks required 2140 operations and the encryption of 232 chosen plaintexts; under 128 bit keys, a similar attack was possible, but it was only marginally faster than exhaustive key search.Kazukuni Kobara, of the University of Tokyo, presented a method for evaluating the strength of a category of block ciphers against certains types of differential cryptanalysis. The category includes word-oriented block ciphers with small word sizes in which the linear and non-linear functions are clearly separated; Rijndael was the only AES finalist to which the analysis applied. Kobara described an efficient algorithm for estimating all truncated differential probabilities of such ciphers where randomly chosen differentials are given. He then evaluated the truncated differential probabilities of a single layer of the MixColumn operation, as well as impossible truncated differentials for multiple rounds of Rijndael. Under the assumptions of the model, impossible truncated differentials do not exist for more than 3 rounds of Rijndael.7.Rump SessionOn the first evening of the conference, several attendees gave short talks for the rump session. Andreas Dandalus, of the University of California, spoke first, presenting a comparative performance study of the finalists using FPGAs. He concluded that Rijndael and Serpent fit FPGAs the best.8Richard Schroeppel, of Sandia National Labs, presented the results of some empirical tests that he had conducted on the AES round functions, searching for correlations between various combinations of plaintext and ciphertext bits. As expected, for each algorithm, he did not detect any correlations after just a couple of iterations of the round function.Bruce Schneier, of Counterpane Internet Security, Inc., presented some of the history of the cryptanalysis for three block ciphers (DES, IDEA, and RC5) in order to illustrate how attacks generally improve over time. He suggested that attacks on reduced-round variants, even though they are wildly impractical, give some indication of whether a practical attack is ever likely to be developed.Steve Bellovin, of AT&T Labs, contended that IPSec (Internet Protocol Security) was a major application to consider in evaluating the key agility of the AES finalists, as big servers with many clients could not afford a lot of cryptographic overhead for short sessions.Lars Knudsen, of the University of Bergen, retracted the truncated differential attack on Twofish that he had presented at the rump session for the FSE2000 conference earlier in the week. He discussed how the attack might be rehabilitated.Neils Ferguson, of Counterpane Internet Security, Inc., discussed a class of keys, which he called “semi-equivalent,” for certain reduced-round variants of MARS, under which these MARS variants exhibited a property that was analogous to the complementation property of the DES.Ferguson gave a second talk in which he claimed that the results of experiments on a simplified variant of Twofish confirmed that Knudsen’s retracted attack indeed would not work.Antoine Joux, of the SCSSI (Service Central de la Sécurité des Systèmes d'Information), spoke about the role of the data-dependent rotations in the pseudo-randomness of idealized variants of RC6.Matt Robshaw, of RSA Laboratories, disputed some of the estimates and conjectures in the MARS submission concerning MARS’s resistance to linear cryptanalysis.Brian Gladman discussed his implementations of the AES finalists on an ARM processor coded in both C and assembly language. He observed that Serpent mapped extremely well in C code but performed relatively worse in register-poor environments.Craig Clapp, of PictureTel Corporation, discussed the performance of the AES finalists on the TriMedia VLIW media-processor, which was capable of considerable instruction-level parallelism. He concluded that on advanced CPUs, the relative performance of the algorithms may differ wildly, depending on the mode of operation: Rijndael’s inherent parallelism allowed the best performance for non-feedback modes, while RC6 had the best performance for non-feedback (interleaved) modes.9。