research-article

Weakness Identification and Flow Analysis Based on Tor Network

Authors:

Shiyu Shen,

Jianlin Gao,

Aitian WuAuthors Info & Claims

ICCNS '18: Proceedings of the 8th International Conference on Communication and Network Security

Pages 90 - 94

https://doi.org/10.1145/3290480.3290481

Published: 02 November 2018 Publication History

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Abstract

As the Internet technology develops rapidly, attacks against Tor networks becomes more and more frequent. So, it's more and more difficult for Tor network to meet people's demand to protect their private information. A method to improve the anonymity of Tor seems urgent. In this paper, we mainly talk about the principle of Tor, which is the largest anonymous communication system in the world, analyze the reason for its limited efficiency, and discuss the vulnerability of link fingerprint and node selection. After that, a node recognition model based on SVM is established, which verifies that the traffic characteristics expose the node attributes, thus revealing the link and destroying the anonymity. Based on what is done above, some measures are put forward to improve Tor protocol to make it more anonymous.

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Cited By

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Joshi PDinesha H(2023)Study Report of Tor Antiforensic TechniquesProceedings of the 2nd International Conference on Cognitive and Intelligent Computing10.1007/978-981-99-2742-5_9(81-91)Online publication date: 27-Sep-2023
https://doi.org/10.1007/978-981-99-2742-5_9
Tazi FShrestha SDe La Cruz JDas S(2022)SoK: An Evaluation of the Secure End User Experience on the Dark Net through Systematic Literature ReviewJournal of Cybersecurity and Privacy10.3390/jcp20200182:2(329-357)Online publication date: 27-May-2022
https://doi.org/10.3390/jcp2020018
Köster KMarx MKunstmann AFederrath H(2022)Evaluation of Circuit Lifetimes in TorICT Systems Security and Privacy Protection10.1007/978-3-031-06975-8_9(142-157)Online publication date: 3-Jun-2022
https://doi.org/10.1007/978-3-031-06975-8_9

Index Terms

Weakness Identification and Flow Analysis Based on Tor Network
1. Security and privacy
  1. Network security
    1. Security protocols

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Published In

ICCNS '18: Proceedings of the 8th International Conference on Communication and Network Security

November 2018

166 pages

ISBN:9781450365673

DOI:10.1145/3290480

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2018

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ICCNS 2018

ICCNS 2018: 2018 the 8th International Conference on Communication and Network Security

November 2 - 4, 2018

Qingdao, China

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Joshi PDinesha H(2023)Study Report of Tor Antiforensic TechniquesProceedings of the 2nd International Conference on Cognitive and Intelligent Computing10.1007/978-981-99-2742-5_9(81-91)Online publication date: 27-Sep-2023
https://doi.org/10.1007/978-981-99-2742-5_9
Tazi FShrestha SDe La Cruz JDas S(2022)SoK: An Evaluation of the Secure End User Experience on the Dark Net through Systematic Literature ReviewJournal of Cybersecurity and Privacy10.3390/jcp20200182:2(329-357)Online publication date: 27-May-2022
https://doi.org/10.3390/jcp2020018
Köster KMarx MKunstmann AFederrath H(2022)Evaluation of Circuit Lifetimes in TorICT Systems Security and Privacy Protection10.1007/978-3-031-06975-8_9(142-157)Online publication date: 3-Jun-2022
https://doi.org/10.1007/978-3-031-06975-8_9

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