Black-hole attacks in P2P mobile networks discovered through Bayesian filters

Authors:
Jorge Hortelano;Carlos T. Calafate;Juan Carlos Cano;Massimiliano De Leoni;Pietro Manzoni;Massimo Mecella
Affiliations:
Departamento de Informática de Sistemas y Computadores, Universidad Politécnia de Valencia, Spain;Departamento de Informática de Sistemas y Computadores, Universidad Politécnia de Valencia, Spain;Departamento de Informática de Sistemas y Computadores, Universidad Politécnia de Valencia, Spain;Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands;Departamento de Informática de Sistemas y Computadores, Universidad Politécnia de Valencia, Spain;Dipartimento di Informatica e Sistemistica, SAPIENZA Università di Roma, Italy
Venue:
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Year:
2010

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Abstract

MANETs (Mobile Ad-hoc NETworks) are an example of Peer-to-Peer (P2P) mobile networks in which security attacks, as black-hole ones, may cause serious dangers to the whole system. The watchdog is a well-known sensor usually adopted for detecting black-holes in such networks, but typical watchdogs are characterized by a relatively high number of false positive and negative cases, which can affect the effectiveness and efficiency to deal with intrusions. This paper proposes a novel approach for detecting black-hole attacks and selfish nodes in mobile P2P networks by using a watchdog sensor and a bayesian filtering. We demonstrate the validity of the approach through testing.