Towards a Secure Data Sharing Peer-to-Peer Network based on Geometric and Semantic Distances

Ana-Delia Sambotin (1) , Mugurel Ionut Andreica (1)

1 Parallel and Distributed Systems Laboratory [Bucarest]

In this paper we propose a new strategy that can be applied for creating a secure peer-to-peer topology in which the identity of the source node cannot be revealed. The main goal is to obtain a decentralized network distributed in space, where the users are allowed to share and exchange their music files. The proposed model uses different metrics for estimating the distance between nodes (like the round trip time and the semantic distance) and uses the smallest values in order to select a node's neighbors. For the identity protection, the system imposes the encryption of the traffic and that the communication is mediated by a node from the network, randomly chosen by each instance.

Mots clés: P2P; virtual geometric coordinates; semantic distance; security; multicast; data sharing

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Algorithme et structure de données [cs.DS]

Ana-Delia Sambotin, Mugurel Ionut Andreica. Towards a Secure Data Sharing Peer-to-Peer Network based on Geometric and Semantic Distances. 17th Annual EUROSIS Scientific Conference on Web Technology, New Media, Communications and Telematics Theory, Methods, Tools and Applications (EUROMEDIA), Apr 2012, Bucharest, Romania. pp.93-99. ⟨hal-00789860⟩