STor: Social Network based Anonymous Communication in Tor
Peng Zhou, Xiapu Luo, Ang Chen, Rocky K. C. Chang

TL;DR
STor introduces a social network based trust model to enhance security in Tor by identifying and circumventing malicious routers, improving anonymity through trust-based circuit establishment.
Contribution
The paper presents a novel social network based trust model integrated into Tor, enabling secure, trust-aware routing to mitigate malicious router attacks.
Findings
STor effectively detects malicious routers using social trust.
Experiments show improved anonymity and security in Tor.
Trust-based circuits outperform traditional Tor routing.
Abstract
Anonymity networks hide user identities with the help of relayed anonymity routers. However, the state-of-the-art anonymity networks do not provide an effective trust model. As a result, users cannot circumvent malicious or vulnerable routers, thus making them susceptible to malicious router based attacks (e.g., correlation attacks). In this paper, we propose a novel social network based trust model to help anonymity networks circumvent malicious routers and obtain secure anonymity. In particular, we design an input independent fuzzy model to determine trust relationships between friends based on qualitative and quantitative social attributes, both of which can be readily obtained from existing social networks. Moreover, we design an algorithm for propagating trust over an anonymity network. We integrate these two elements in STor, a novel social network based Tor. We have implemented…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Network Security and Intrusion Detection · Privacy-Preserving Technologies in Data
