Topology Adaptation for Trust-based search in Peer-to-Peer Networks
This project is related to our research line: Design and analysis of socio-technical systems.
Duration: 7 months (October 2011 - May 2012)
Funding source: Indo Swiss Joint Research Programme
Research partners: Chair of Systems Design of ETH Zurich (host group), Professor N. Ganguly, IIT Kharagpur, India.
Peer-to-Peer (P2P) networks have enabled easy content sharing over the web through the users personal computers and hence have become hugely popular. However, side by side, content download from unauthentic sources has led to a surge in fake content and malware that are disseminated through these files. This motivates the need to design sophisticated search mechanisms in P2P networks that will not only guarantee low search latency and low bandwidth consumption but also ensure trustworthy sources, i.e. that are known to provide authentic files.
One way of designing such technique is to suitably organise the topology of the overlay network which interconnects peers. In this line, we aim at developing a suitable topology adaptation mechanism in P2P networks so that peers providing authentic content of a particular category such as music, movies, ebooks etc. can be grouped together to form a community, i.e. highly trusted peers in a community will be densely connected. This implies that the search queries can be disseminated quickly to these highly trusted peers.
Although this broad picture looks simple, to achieve these objectives, we need to address several issues. P2P networks are subject to heavy churn with peers continuously leaving and joining the systems, thus making the overlay unstable. Content is constantly updated by the users, making the discovery of content itself a challenging problem. However, the most important component needed to ensure the success of such algorithms is the choice of suitable trust ranking metrics that a node can use to rate the trust of its neighbours.
At the Chair of Systems Design, which is the host group of this project, we have been actively engaged in developing distributed trust management mechanisms for trust-based networks. In particular, we proposed an elegant trust ranking mechanism for web-based recommender systems. The principal task of this project is to customize the trust metric in such a way that it can be used in dynamic P2P networks. The research group at IIT, Kharagpur is actively involved in P2P research that involves enhancing the performance of P2P systems in terms of search latency, network coverage and traffic reduction. The results of this research have been published in top-tier conferences and journals.