The Anonymity of the Dark Web: A Survey #02

This is my personal note about the paper introduction. https://www.researchgate.net/publication/359421382_The_Anonymity_of_the_Dark_Web_A_Survey

Background

Background information on the attack’s taxonomy in the dark web.

Related Work

• Salo proposed a survey and categorized 14 Tor attacks into five categories.
  • Recent Attacks on Tor
    • http://www.cse.hut.fi/en/publications/B/11/papers/salo.pdf
• Nepal et al. presented Tor hidden services deanonymization scheme.
  • Denonymizing schemes of hidden services in Tor network: A survey
    • http://dx.doi.org/10.1109/ICOIN.2015.7057949
• Erdin et al. presented a survey of attacks on I2P and Tor by categorizing almost 18 attacks.
  • How to find hidden users: A survey of attacks on anonymity networks
    • http://dx.doi.org/10.1109/COMST.2015.2453434
• Yang et al. introduced single hop and multiple hop communication models and deanonymizing techniques in two dimension.
  • De-anonymizing and counter-measures in anonymous communication networks
    • http://dx.doi.org/10.1109/MCOM.2015.7081076
• Alsabah and Goldberg provided a survey on the Tor network’s performance and security aspects in different areas.
  • Performance and security improvements for Tor: A survey
    • http://dx.doi.org/10.1145/2946802
• Evers et al. presented a thirteen-year attack survey that classifies 84 attacks.
  • Thirteen years of Tor attacks
    • https://github.com/Attacks-on-Tor/Attacks-on-Tor
• Saleh et al. presented a literature survey that deals with classification, quantification, and comparative analysis of research work on Tor.
  • Shedding light on the dark corners of the internet: A survey of Tor research
    • http://dx.doi.org/10.1016/j.jnca.2018.04.002
• Cambiaso et al. analyzed the Tor attacks and categorized them as per the target of the attacker client, server, network, and generic attacks.
  • Darknet security: A categorization of attacks to the Tor network
    • Italian Conf. Cybersecur., vol. 2315, 2019, pp. 1–12
• Karunanayake et al. introduced 50 Tor deanonymization attacks in 2020 into four categories.
  • ‘Anonymity with Tor: A survey on Tor attacks
    • arXiv:2009.13018.
• Sulaiman presented different types of unpopular Tor attacks.
  • Attacking Tor through unpopular ports
    • http://dx.doi.org/10.1109/ICDCSW.2013.29
• Sun et al. [20] discussed the raptor attacks which the autonomous system can launch to deanonymize the user.
  • Raptor: Routing attacks on privacy in Tor
    • 24th USENIX Secur. Symp., 2015, pp. 271–286
• Barbera et al. discussed the methodology, accessing the resources, and effect of cell flood attacks on the Tor network.
  • CellFlood: Attacking tor onion routers on the cheap
    • http://dx.doi.org/10.1007/978-3-642-40203-6_37
• Casenove and Miraglia analyzed the botnet’s infrastructure and how the botmasters use them in the Tor network.
  • Botnet over Tor: The illusion of hiding
    • http://dx.doi.org/10.1109/CYCON.2014.6916408
• Kaur and Randhawa also mentioned 11 Tor attacks in heir work but was unable to provide any attack categorization in the network.
  • Dark web: A web of crimes
    • http://dx.doi.org/10.1007/s11277-020-07143-2
• Basyoni et al. examined traffic analysis attacks from the perspective of threat models and the practicality of these attacks in real-time.
  • Traffic analysis attacks on Tor: A survey
    • http://dx.doi.org/10.1109/ICIoT48696.2020.9089497

In this paper analyzed and reviewed these work and have tried to simplify and unify various attacks and attack patterns.