Journal Title : International Journal of Modern Trends in Engineering and Science
Volume 03 Issue 05 2016
ISSN no: 2348-3121
Page no: 60-64
Abstract – Wireless Sensor Networks (WSNs) are unprotected and can be maliciously, either physically or remotely, with potentially spoilate 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 fraudulent events and, thus spark an undesired response, or to mask the occurrence of actual events. We propose a neoteric and novel algorithm to identify malicious data injections and build measurement estimates that are resistant to several compromised sensors event when they collude in the attack. We also propose a methodology to apply this algorithm in different application context and checkout its results on three different datasets drawn from sharp WSN categorization. This leads us to identify different accords in the design of such algorithms and how they are persuaded by the application context.
Keywords— Sensor networks, Ad-Hoc, Security management, Fault detection
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