Equipping smart devices with public key signatures

Author:

Ding Xuhua1,Mazzocchi Daniele2,Tsudik Gene3

Affiliation:

1. Singapore Management University, Singapore

2. Istituto Superiore Mario Boella, Torino, Italy

3. University of California, Irvine, CA

Abstract

One of the major recent trends in computing has been towards so-called smart devices, such as PDAs, cell phones and sensors. Such devices tend to have a feature in common: limited computational capabilities and equally limited power, as most operate on batteries. This makes them ill-suited for public key signatures. This article explores practical and conceptual implications of using Server-Aided Signatures (SAS) for these devices. SAS is a signature method that relies on partially-trusted servers for generating (normally expensive) public key signatures for regular users. Although the primary goal is to aid small, resource-limited devices in signature generation, SAS also offers fast certificate revocation, signature causality and reliable timestamping. It also has some interesting features such as built-in attack detection for users and DoS resistance for servers. Our experimental results also validate the feasibility of deploying SAS on smart devices.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multimodal Face and Ear Recognition Using Feature Level and Score Level Fusion Approach;Lecture Notes in Networks and Systems;2024

2. Data-informed inverse design by product usage information: a review, framework and outlook;Journal of Intelligent Manufacturing;2019-01-23

3. Energy-Efficient Source Authentication for Secure Group Communication with Low-Powered Smart Devices in Hybrid Wireless/Satellite Networks;EURASIP Journal on Wireless Communications and Networking;2010-09-28

4. Efficient Certification Path Discovery for MANET;EURASIP Journal on Wireless Communications and Networking;2010-05-17

5. Handheld data protection using handheld usage pattern identification;2008 IEEE International Conference on Electro/Information Technology;2008-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3