Improve security of wireless sensor networks through reluctant checksum

Author:

Zhang Qiong1,Xiao Jianyu2

Affiliation:

1. School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China

2. School of Information Science and Engineering, Central South University, Changsha, China

Abstract

The open wireless channel makes the data prone to being eavesdropped. Current wireless security schemes are designed to protect data through cryptography. But an adversary can still recover the secrets by eavesdropping the frames and performing off-line brute-force attacks. Capturing valid frames is fundamental for such attacks. It is generally accepted that each frame at data link layer is designed to include cyclic redundancy check (CRC) checksum sequence for integrity check. However, frame checksum sequence also helps adversary to capture correct frames and drop corrupted ones, which are fundamental to future off-line attacks. In this article, we argue that from the perspective of wireless security, it is unreasonable to include checksum sequence in data link layer frame without any protection. A reluctant checksum scheme named R-CS is proposed. Based on the inherent characteristic of wireless networks that frame error is inevitable, checksum of frame is protected by accumulated checksum algorithm in R-CS. The checksum of the frame cannot be decoded by any nodes except the receiver. Without checksum, adversaries cannot distinguish error frames from correct ones. R-CS requires little computation and communication resources, which is particularly suitable for resource-limited wireless sensor network. Our experimental results clearly demonstrate that R-CS is feasible for wireless sensor network.

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 4 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

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