已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Performance Comparison of Message Authentication Code (MAC) Algorithms for the Internet Protocol Security (IPSEC)

作者
Janaka Deepakumara,Howard M. Heys
链接
摘要

The cryptographic algorithms employed in Internet security must be able to handle packets which may vary in size over a large range. Most of the cryptographic hash algorithms process messages by partitioning them into large blocks. Due to this fact the messages have to be prepared by padding the required amount of zero bits to get an integer number of blocks. This process contributes a considerable overhead when the short messages are more dominant in the message stream. Hashed Message Authentication Code-Secure Hash Algorithm-1 (HMAC-SHA-1) [1] has been recommended for message authentication in several network security protocols. The MAC based block cipher CBC-MAC-DES [2] has been included in the international standards for data integrity and authentication. However, after selecting the Advanced Encryption Standard (AES) algorithm, the use of DES merits reevaluation as Rijndael [3] shows good performance in both hardware and software and it has better security features than DES. CBC-MAC is likely to be standardized as an AES mode of operation. In this paper we will analyze the hardware and software performance of Hashed Message Authentication Code (HMAC) and Cipher Block Chaining Message Authentication Code (CBC-MAC) in the context of the traffic characteristics of the Internet. Studying the behavior of IP packet size of the Internet messages allows the estimation of actual performance of these authentication functions. The probability density function (PDF) of the IP packet size is approximated as one of four models, each having different accuracy level. The PDF is then used to determine the rate at which authentication can be executed on average, based on the results of previous hardware and software implementation performance data for the hash and encryption algorithms.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Chroninus完成签到,获得积分10
3秒前
3秒前
科研通AI6.3应助Sheepycat采纳,获得50
4秒前
香蕉觅云应助CNS采纳,获得10
4秒前
jincq发布了新的文献求助10
4秒前
5秒前
小蘑菇应助YDCPUEX采纳,获得10
5秒前
英姑应助刺猬采纳,获得10
6秒前
6秒前
6秒前
JamesPei应助wys0108采纳,获得10
6秒前
科研通AI6.4应助Chuning采纳,获得10
6秒前
tangyunfeng发布了新的文献求助10
6秒前
趁着不深发布了新的文献求助10
8秒前
9秒前
时衍发布了新的文献求助10
9秒前
李爱国应助cchi采纳,获得10
10秒前
舒心新儿发布了新的文献求助10
10秒前
11秒前
RaymondHee完成签到,获得积分10
13秒前
淋湿巴黎发布了新的文献求助10
13秒前
13秒前
jincq完成签到,获得积分20
14秒前
15秒前
17秒前
xiaolizi发布了新的文献求助10
18秒前
18秒前
Ellen发布了新的文献求助10
19秒前
未来发布了新的文献求助10
19秒前
RaymondHee发布了新的文献求助30
19秒前
1024504036发布了新的文献求助10
21秒前
22秒前
舒心新儿完成签到,获得积分10
22秒前
22秒前
23秒前
气泡水完成签到,获得积分10
24秒前
27秒前
勇哥你好发布了新的文献求助10
27秒前
Allan完成签到 ,获得积分10
28秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7577807
求助须知:如何正确求助?哪些是违规求助? 9157537
关于积分的说明 19591535
捐赠科研通 7161562
什么是DOI,文献DOI怎么找? 3265429
关于科研通互助平台的介绍 2430339
邀请新用户注册赠送积分活动 2256083