A Management Platform for Tracking Cyber Predators in Peer-to-Peer Networks

Peer-to-peer (p2p) networks have become a privileged communication infrastructure for file sharing applications. However, it can also provide support for cybercriminality activities performed by organized criminal groups that can voluntarily propagate strongly undesirable contents. We propose in this paper a management platform capable of tracking and identifying such cyberpredators in peer-to-peer networks. We describe the architecture consisting of a set of configurable honeypot agents and detail how a honeypot is capable of advertising strongly undesirable contents and of detecting network users that attempt to acquire them. The distributed tracking solution is experimented through an implementation prototype in realistic scenarios.