Defending Malicious Collision Attacks in Wireless Sensor Networks

Phillip Reindl, K. Nygard, Xiaojiang Du
{"title":"Defending Malicious Collision Attacks in Wireless Sensor Networks","authors":"Phillip Reindl, K. Nygard, Xiaojiang Du","doi":"10.1109/EUC.2010.121","DOIUrl":null,"url":null,"abstract":"Security is an important issue for sensor networks deployed in hostile environments, such as military battlefields. The low cost requirement precludes the use of tamper resistant hardware on tiny sensor nodes. Hence, sensor nodes deployed in open areas can be compromised and used to carry out various attacks on the network. In this paper, we consider the collision attack that can be easily launched by a compromised (or hostile) node: a compromised node does not follow the medium access control protocol and cause collisions with neighbor transmissions by sending a short noise packet. This attack does not consume much energy of the attacker but can cause a lot of disruptions to the network operation. Due to the wireless broadcast nature, it is not trivial to identify the attacker. In this paper, we propose a distributed scheme that is based on low-cost hardware and can effectively identify the source of a collision attack. Our scheme is based on analyzing physical-layer Received Signal Strength Index (RSSI) readings. We show that correct identification of an adversarial node can be achieved with greater than 85% accuracy. We further present a technique that degrades gracefully as the background noise increases.","PeriodicalId":265175,"journal":{"name":"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUC.2010.121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 36

Abstract

Security is an important issue for sensor networks deployed in hostile environments, such as military battlefields. The low cost requirement precludes the use of tamper resistant hardware on tiny sensor nodes. Hence, sensor nodes deployed in open areas can be compromised and used to carry out various attacks on the network. In this paper, we consider the collision attack that can be easily launched by a compromised (or hostile) node: a compromised node does not follow the medium access control protocol and cause collisions with neighbor transmissions by sending a short noise packet. This attack does not consume much energy of the attacker but can cause a lot of disruptions to the network operation. Due to the wireless broadcast nature, it is not trivial to identify the attacker. In this paper, we propose a distributed scheme that is based on low-cost hardware and can effectively identify the source of a collision attack. Our scheme is based on analyzing physical-layer Received Signal Strength Index (RSSI) readings. We show that correct identification of an adversarial node can be achieved with greater than 85% accuracy. We further present a technique that degrades gracefully as the background noise increases.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
无线传感器网络中的恶意碰撞攻击防御
对于部署在敌对环境(如军事战场)中的传感器网络来说,安全性是一个重要问题。低成本要求排除了在微小传感器节点上使用防篡改硬件。因此,部署在开放区域的传感器节点可能被攻破,并被用来对网络进行各种攻击。本文考虑了被攻破(或敌对)节点容易发起的碰撞攻击:被攻破的节点不遵循介质访问控制协议,通过发送短噪声包与邻居传输发生碰撞。这种攻击不会消耗攻击者太多的能量,但会对网络运行造成很大的破坏。由于无线广播的特性,识别攻击者并非易事。在本文中,我们提出了一种基于低成本硬件的分布式方案,可以有效地识别碰撞攻击源。我们的方案是基于分析物理层接收信号强度指数(RSSI)读数。我们表明,对抗性节点的正确识别可以达到大于85%的准确率。我们进一步提出了一种随着背景噪声的增加而优雅地退化的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Predictive Power Control for Mobile Wireless Networks with Time-Varying Delay Localization with a Mobile Beacon in Underwater Sensor Networks Node Trust Assessment in Mobile Ad Hoc Networks Based on Multi-dimensional Fuzzy Decision Making An Application Framework for Loosely Coupled Networked Cyber-Physical Systems On Efficient Clock Drift Prediction Means and their Applicability to IEEE 802.15.4
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1