AMC Model for Denial of Sleep Attack Detection

TL;DR

This paper proposes an Absorbing Markov Chain-based mathematical model to detect denial of sleep attacks in wireless sensor networks by analyzing the expected lifetime of the network under attack conditions.

Contribution

It introduces a novel AMC model specifically designed for identifying denial of sleep attacks in sensor networks, enhancing detection accuracy.

Findings

Effective detection of denial of sleep attacks using AMC model

Improved understanding of sensor network lifetime under attack

Potential for real-time attack detection in hostile environments

Abstract

Due to deployment in hostile environment, wireless sensor network is vulnerable to various attacks. Exhausted sensor nodes in sensor network become a challenging issue because it disrupts the normal connectivity of the network. Affected nodes give rise to denial of service that resists to get the objective of sensor network in real life. A mathematical model based on Absorbing Markov Chain (AMC)is proposed for Denial of Sleep attack detection in sensor network. In this mechanism, whether sensor network is affected by denial of sleep attack or not can be decided by considering expected death time of sensor network under normal scenario.