A Probabilistic Gossip-based Secure Protocol for Unstructured P2P Networks

Abstract

Gossip based communication is an efficient tool to manage unstructured decentralized Peer-to-Peer (P2P) overlay connectivity. Such unstructured overlay connectivity is prone to security risks. Few malicious nodes are able to isolate all peer of the entire overlay as in Hub attack. Several existing security protocols such as SPSS, TooLate, and S-Gossip have dealt with this Hub attack. A probabilistic gossip-based secure protocol is introduced to handle this attack efficiently. It senses faulty neighbours before gossip with high probability. It uses a single control table to seize the malicious nodes. The comparison shows that the effects of the proposed security protocol are better than others.