:: Volume 6, Issue 2 (3-2018) ::
3 2018, 6(2): 51-64 Back to browse issues page
A Review on Website Fingerprinting Attacks
Maryam Taebi Ms, Ali Bohlooli Dr. , Marjan Kaedi Dr.
University of Isfahan
Abstract:   (1106 Views)
In Website Fingerprinting (WFP) Attacks, clients’ destination webpages are identified using traffic analysis techniques, without any need to decrypt traffic contents. Typically, clients make use of the privacy enhancing technologies (e.g., VPNs, proxies, and anonymity networks) to browse webpages. These technologies allow clients to hide traffic contents and their real destinations. To perform an attack, features are extracted from the input packet sequence. Next, the data is pre-processed and finally, client’s real destination is revealed by means of a machine learning algorithm. Various studies have utilized statistical methods or classification approaches to infer the client’s visited webpages. In this paper, a comprehensive overview of WFP techniques is performed, in which previous studies are categorized based on the features they use for webpages identification. This is a new approach for categorizing previous works on WFP attacks and to the best of our knowledge, this viewpoint has not been applied so far.
 
Keywords: Website Fingerprinting Attack, Traffic Analysis, Machine Learning, Classification, Feature Extraction
Full-Text [PDF 3981 kb]   (318 Downloads)    
Type of Study: Scientific extension | Subject: Special
Received: 2017/11/16 | Accepted: 2018/06/10 | Published: 2018/08/27


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Volume 6, Issue 2 (3-2018) Back to browse issues page