survey

A Survey of Network Traffic Anonymisation Techniques and Implementations

Authors:

Niels Van Dijkhuizen and

Jeroen Van Der HamAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 3

Article No.: 52, Pages 1 - 27

https://doi.org/10.1145/3182660

Published: 23 May 2018 Publication History

Abstract

Many networking research activities are dependent on the availability of network captures. Even outside academic research, there is a need for sharing network captures to cooperate on threat assessments or for debugging. However, most network captures cannot be shared due to privacy concerns.

Anonymisation of network captures has been a subject of research for quite some time, and many different techniques exist. In this article, we present an overview of the currently available techniques and implementations for network capture anonymisation.

There have been many advances in the understanding of anonymisation and cryptographic methods, which have changed the perspective on the effectiveness of many anonymisation techniques. However, these advances, combined with the increase of computational abilities, may have also made it feasible to perform anonymisation in real time. This may make it easier to collect and distribute network captures both for research and for other applications.

<?tight?>This article surveys the literature over the period of 1998–2017 on network traffic anonymisation techniques and implementations. The aim is to provide an overview of the current state of the art and to highlight how advances in related fields have shed new light on anonymisation and pseudonimisation methodologies. The few currently maintained implementations are also reviewed. Last, we identify future research directions to enable easier sharing of network traffic, which in turn can enable new insights in network traffic analysis.

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Timilsina SPesavento DShi JShannigrahi SBenmohamed LCalvert KHjálmtýsson GCrowley PPapadopoulos C(2023)Capture and Analysis of Traffic Traces on a Wide-Area NDN TestbedProceedings of the 10th ACM Conference on Information-Centric Networking10.1145/3623565.3623707(101-108)Online publication date: 9-Oct-2023
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Index Terms

A Survey of Network Traffic Anonymisation Techniques and Implementations
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Privacy protections
  2. Intrusion/anomaly detection and malware mitigation
    1. Intrusion detection systems

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 3

May 2019

796 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3212709

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Publication History

Published: 23 May 2018

Accepted: 01 January 2018

Revised: 01 November 2017

Received: 01 October 2016

Published in CSUR Volume 51, Issue 3

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https://doi.org/10.1109/CSCS59211.2023.00097
Sundberg SGarcia JBrunstrom A(2023)Characterizing Wireless Link Throughput with eBPF and Hardware Timestamps2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)10.1109/CAMAD59638.2023.10478419(302-308)Online publication date: 6-Nov-2023
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