Resource Monitoring for the Detection of Parasite P2P Botnets

Rafael A. Rodríguez-Gómez; Gabriel Maciá-Fernández; Pedro García-Teodoro; Moritz Steiner; Davide Balzarotti

Abstract:

Detecting botnet behaviors in networks is a popular topic in the current research literature. The problem of detection of P2P botnets has been denounced as one of the most difficult ones, and this is even sounder when botnets use existing P2P networks infrastructure (parasite P2P botnets). The majority of the detection proposals available at present are based on monitoring network traffic to determine the potential existence of command-and-control communications (C&C) between the bots and the botmaster. As a different and novel approach, this paper introduces a detection scheme which is based on modeling the evolution of the number of peers sharing a resource in a P2P network over time. This allows to detect abnormal behaviors associated to parasite P2P botnet resources in this kind of environments. We perform extensive experiments on Mainline network, from which promising detection results are obtained while patterns of parasite botnets are tentatively discovered.

Research areas:

• Ethical hacking and digital forensics

Year:

2014

Type of Publication:

Article

Journal:

Enviado a: Computer Networks