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TNRAS: Tor Nodes Reliability Analysis Scheme

With the rapid Internet development, the security attacks become more and more noteworthy that people have paid more concentration on personal privacy. The Onion Router (Tor), a distributed anonymous communication network, has gradually come into our field of vision for secure communicating on the Internet. However, there are still several security issues like the Sybil attack in Tor, which pose a non-negligible threat to both the network and its users. This paper proposes an ideal method Tor nodes reliability analysis scheme (TNRAS), Tor nodes reliability analysis scheme, against the Sybil attack. We explore an effective mean to reveal the Sybil or unreliable nodes in Tor. Through analyzing the general characteristics of nodes from six aspects, we can predict the unreliable nodes. We filter them and assess the remaining high reliable nodes for practical application afterwards. After that, the Tor reliable nodes analysis scheme application is implemented and analyzed. Moreover, this paper points out the definition of the Sybil nodes, high reliable nodes, and the reliability, then further assessing the nodes’ reliability. The research reveals the Sybil nodes characteristics through our six aspects detection method, and the predict model achieves to 0.928 training correlation and 0.715 validation correlation both with more than 0.8 ROC, which is of great significance for Tor with its increasing number of users and the worsening network context.