ToRank: Identifying the most influential suspicious domains in the Tor network

作者：

Highlights：

• A new dataset for the hidden services in the Tor network with 10K samples.

• Statistical analysis for the dataset with useful insights for Law Enforcement Agencies.

• A new algorithm for ranking the onion domains and detect the influential ones.

• The algorithm is tested on three real-world datasets.

摘要

•A new dataset for the hidden services in the Tor network with 10K samples.•Statistical analysis for the dataset with useful insights for Law Enforcement Agencies.•A new algorithm for ranking the onion domains and detect the influential ones.•The algorithm is tested on three real-world datasets.

论文关键词：Darknet,Dataset,Influence detection,Graph analysis,Ranking algorithm,Hidden services

论文评审过程：Received 10 September 2018, Revised 5 January 2019, Accepted 7 January 2019, Available online 15 January 2019, Version of Record 21 January 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.029