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On Intrusion Detection in Opportunistic Networks by Nicholas S. Samaras; Konstantinos Kokkinos; Costas Chaikalis; Vasileios Vlachos is a scholarly article available to read on EtoBox.

What is On Intrusion Detection in Opportunistic Networks about?

Opportunistic networks (oppnets) can be deployed in an ad hoc manner in order to cover large geographical areas. The main challenges in oppnets are interoperability, security and privacy issues. In this paper we concentrate on security issues and especially on intrusion detection. Specifically, this paper includes a survey of different attacks and existing intrusion detection techniques. Moreover, it presents a Multi-Layer Anomaly Intrusion Detection technique that is based on an existing approach used in sensornets. Anomaly-based intrusion detection method was used because it can automatically infer attacks which are yet unknown without prior knowledge. In addition, the multilayer nature of the proposed technique, offers increased situational awareness and understanding of system security events as it uses corroborating evidence/information from different layers. The proposed technique is protocol independent since it uses the available system information produced by the various existing protocols of network layers. Consequently, it poses a low overhead which makes it energy efficient for the resource constrained oppnets. Finally, simulation results demonstrate that using such a M

Author

Nicholas S. Samaras; Konstantinos Kokkinos; Costas Chaikalis; Vasileios Vlachos

Publisher

ACM

Published

2013

Language

EN