Detection of Anonymising Proxies Using Machine Learning

Author:

Miller Shane1,Curran Kevin1,Lunney Tom1

Affiliation:

1. Ulster University, UK

Abstract

Network Proxies and Virtual Private Networks (VPN) are tools that are used every day to facilitate various business functions. However, they have gained popularity amongst unintended userbases as tools that can be used to hide mask identities while using websites and web-services. Anonymising Proxies and/or VPNs act as an intermediary between a user and a web server with a Proxy and/or VPN IP address taking the place of the user’s IP address that is forwarded to the web server. This paper presents computational models based on intelligent machine learning techniques to address the limitations currently experienced by unauthorised user detection systems. A model to detect usage of anonymising proxies was developed using a Multi-layered perceptron neural network that was trained using data found in the Transmission Control Protocol (TCP) header of captured network packets

Publisher

IGI Global

Subject

Software

Reference42 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting BGP Routing Anomalies Using Machine Learning: A Review;Lecture Notes in Networks and Systems;2024

2. Detection Technique to trace IP behind VPN/Proxy using Machine Learning;International Journal of Next-Generation Computing;2023-02-15

3. Identify VPN Traffic Under HTTPS Tunnel Using Three-Dimensional Sequence Features;Proceedings of the 2022 11th International Conference on Networks, Communication and Computing;2022-12-09

4. Detecting ShadowsocksR User Based on Intelligence of Cyber Entities;Security and Communication Networks;2022-08-24

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