Chapter

Security and Trust Management

Volume 8203 of the series Lecture Notes in Computer Science pp 49-64

A Probabilistic Framework for Distributed Localization of Attackers in MANETs

  • Alessandra De BenedictisAffiliated withDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”
  • , Behzad KooshaAffiliated withCenter for Secure Information Systems, George Mason University
  • , Massimiliano AlbaneseAffiliated withCenter for Secure Information Systems, George Mason University
  • , Valentina CasolaAffiliated withDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”

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Abstract

Mobile Ad-hoc Networks (MANETs) are frequently exposed to a wide range of cyber threats due to their unique characteristics. The lack of a centralized monitoring and management infrastructure and the dynamic nature of their topology pose new and interesting challenges for the design of effective security mechanisms. While conventional methods primarily focus on detecting attacks, in this work we focus on estimating the attackers’ physical location in the network, and propose a probabilistic framework for aggregating information gathered from nodes reporting malicious activity in their vicinity. In order to overcome the limitations of the decentralized nature of MANETs, we present a distributed approach to attacker localization based on dynamically partitioning the network into clusters. These self-organizing clusters can (i) independently find the approximate location of the attackers in real time, and (ii) deploy trusted resources to capture attackers. We show, through experiments in a simulated environment, that our approach is effective and efficient.

Keywords

Attacker Localization Mobile Ad-hoc Networks Distributed Computing Clustering