Detecting Malicious Data Injections in Event Detection Wireless Sensor Networks
File(s)
Author(s)
Illiano, V
Lupu, E
Type
Journal Article
Abstract
Wireless sensor networks (WSNs) are vulnerable and can be maliciously compromised, either physically or remotely, with potentially devastating effects. When sensor networks are used to detect the occurrence of events such as fires, intruders, or heart attacks, malicious data can be injected to create fake events, and thus trigger an undesired response, or to mask the occurrence of actual events. We propose a novel algorithm to identify malicious data injections and build measurement estimates that are resistant to several compromised sensors even when they collude in the attack. We also propose a methodology to apply this algorithm in different application contexts and evaluate its results on three different datasets drawn from distinct WSN deployments. This leads us to identify different tradeoffs in the design of such algorithms and how they are influenced by the application context.
Date Issued
2015-06-23
Date Acceptance
2015-06-05
Citation
IEEE Transactions on Network and Service Management, 2015, 12 (3), pp.496-510
ISSN
1932-4537
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
496
End Page
510
Journal / Book Title
IEEE Transactions on Network and Service Management
Volume
12
Issue
3
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publication Status
Published