2017/10/17 by Shuai Li, Li, Shuai, Huajun Guo +3
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Network Security and Intrusion Detection #Spam and Phishing Detection #cs.CR
paper · pdf · doi:10.48550/arxiv.1710.06080
In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS '18)
openalex publication_date 2017/10/17 · arxiv created 2019/06/05 · arxiv updated 2019/06/06 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28
Tor provides low-latency anonymous and uncensored network access against a local or network adversary. Due to the design choice to minimize traffic overhead (and increase the pool of potential users) Tor allows some information about the client's connections to leak. Attacks using (features extracted from) this information to infer the website a user visits are called Website Fingerprinting (WF) attacks. We develop a methodology and tools to measure the amount of leaked information about a website. We apply this tool to a comprehensive set of features extracted from a large set of websites and WF defense mechanisms, allowing us to make more fine-grained observations about WF attacks and defenses.