Analysis of multi-path onion routing-based anonymization networks

N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Anonymization networks (e.g., Tor) help in protecting the privacy of Internet users. However, the benefit of privacy protection comes at the cost of severe performance loss. This performance loss degrades the user experience to such an extent that many users do not use anonymization networks and forgo the privacy protection offered. Thus, performance improvements need to be offered in order to build a system much more attractive for both new and existing users, which, in turn, would increase the security of all users as a result of enlarging the anonymity set. A well-known technique for improving performance is establishing multiple communication paths between two entities. In this work, we study the benefits and implications of employing multiple disjoint paths in onion routing-based anonymization systems. We first introduce a taxonomy for designing and classifying onion routing-based approaches, including those with multi-path capabilities. This taxonomy helps in exploring the design space and finding attractive new feature combinations, which may be integrated into running systems such as Tor to improve users’ experience (e.g., in web browsing). We then evaluate existing implementations (together with relevant design variations) of multi-path onion routing-based approaches in terms of performance and anonymity. In the course of our practical evaluation, we identify the design characteristics that result in performance improvements and their impact on anonymity.

Cite

CITATION STYLE

APA

De la Cadena, W., Kaiser, D., Mitseva, A., Panchenko, A., & Engel, T. (2019). Analysis of multi-path onion routing-based anonymization networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11559 LNCS, pp. 240–258). Springer Verlag. https://doi.org/10.1007/978-3-030-22479-0_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free