Secure and Privacy-Aware Searching in Peer-to-Peer Networks |
---|
The existing peer-to-peer networks have several problems such
as fake content distribution, free riding, white-washing and poor
search scalability, lack of a robust trust model and absence of
user privacy protection mechanism. Although, several trust
management and semantic community-based mechanisms for combating
free riding and distribution of malicious contents have been
proposed by some researchers, most of these schemes lack
scalability due to their high computational, communication and
storage overhead. This paper presents a robust trust management
scheme for P2P networks that utilizes topology adaptation by
constructing an overlay of trusted peers where the neighbors are
selected based on their trust ratings and content similarities.
While increasing the search efficiency by intelligently exploiting
the formation of semantic community structures by topology
adaptation among the trustworthy peers, the scheme provides the
users a very high level of privacy protection of their usage and
consumption patterns of network resources. Simulation results
demonstrate that the proposed scheme provides efficient searching
to good peers while penalizing the malicious peers by increasing
their search times as the network topology stabilizes.
DPM 2011 Program |