vurangry.blogg.se - Torflow tor network analysis

In Combinatorial and Algorithmic Aspects of Networking, Alejandro Lopez-Ortiz and Angle M. Some unique properties of eigenvector centrality.

In Proceedings of the 13th International Conference on World Wide Web (DOI: Google Scholar Digital Library The webgraph framework I: Compression techniques. In Proceedings of the 23rd International Conference on World Wide Web Companion.

Paolo Boldi, Andrea Marino, Massimo Santini, and Sebastiano Vigna.

IEEE Computer Society, Washington, DC, 80-94. In Proceedings of the Symposium on Security and Privacy (SP’13). Trawling for Tor hidden services: Detection, measurement, deanonymization.

Alex Biryukov, Ivan Pustogarov, and Ralf-Philipp Weinmann.

In Proceedings of the 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW’14). Content and popularity analysis of Tor hidden services.

Alex Biryukov, Ivan Pustogarov, Fabrice Thill, and Ralf-Philipp Weinmann.

In Proceedings of the ACM International Conference on Computing Frontiers (CF’16). Scalable betweenness centrality on multi-GPU systems.

Massimo Bernaschi, Giancarlo Carbone, and Flavio Vella.

In Proceedings of the Workshop on Cyber Security Experimentation and Test (CSET’11). ExperimenTor: A testbed for safe and realistic Tor experimentation.

Kevin Bauer, Micah Sherr, Damon McCoy, and Dirk Grunwald.

In Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security (ASIACCS’15). Torben: A practical side-channel attack for deanonymizing Tor communication.

Daniel Arp, Fabian Yamaguchi, and Konrad Rieck.

Finally, a broad interesting set of novel insights/considerations over the Tor Web organization and content are provided. Among its contributions: a study on automatic Tor Web exploration/data collection approaches the adoption of novel representative metrics for evaluating Tor data a novel in-depth analysis of the hidden services graph a rich correlation analysis of hidden services’ semantics and topology. The present article aims at addressing such lack of information. Even less is known on the relationship between content similarity and topological structure. Since there are no foolproof techniques for automatically discovering Tor hidden services, little or no information is available about the topology of the Tor Web graph. The attention of the research community has focused on assessing the security of the Tor infrastructure (i.e., its ability to actually provide the intended level of anonymity) and on discussing what Tor is currently being used for. However, the unique characteristics of the Tor network limit the applicability of standard techniques and demand for specific algorithms to explore and analyze it. The exploration and analysis of Web graphs has flourished in the recent past, producing a large number of relevant and interesting research results.