Research Article
A Quantitative Model for Analysis and Evaluation of Tor Hidden Service Discovery
@INPROCEEDINGS{10.1007/978-3-319-73317-3_10, author={Peipeng Liu and Xiao Wang and Xin He and Chenglong Li and Shoufeng Cao and Longtao He and Jiawei Zhu}, title={A Quantitative Model for Analysis and Evaluation of Tor Hidden Service Discovery}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Tor Hidden service Discovery Coupon collector}, doi={10.1007/978-3-319-73317-3_10} }- Peipeng Liu
Xiao Wang
Xin He
Chenglong Li
Shoufeng Cao
Longtao He
Jiawei Zhu
Year: 2018
A Quantitative Model for Analysis and Evaluation of Tor Hidden Service Discovery
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_10
Abstract
Tor is one of the most popular anonymous communication systems, and its ability of providing receiver anonymity makes more and more attractive. However, with the exposure of illegal contents such as child pornography and drug trades in hidden services, it becomes urgent to make a comprehensive analysis and evaluation of hidden services in the Tor network. In this paper, based on the frequent updates of hidden service descriptors, we proposed an approach to model Tor hidden service discovery as a generalized coupon collector problem with group drawings. Our experiments based on the real Tor network proved the efficiency and feasibility of the proposed model, which proved the possibility of harvesting most of hidden services with a small amount of resources.
