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An analysis of trust in anonymity networks in the presence of adaptive attackers

HAMADOU, SARDAOUNA, SASSONE, VLADIMIRO, Yang, M. (2014) An analysis of trust in anonymity networks in the presence of adaptive attackers. Mathematical Structures in Computer Science, 25 (2). pp. 429-456. ISSN 0960-1295. (doi:10.1017/S0960129513000650) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:89602)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://doi.org/10.1017/S0960129513000650

Abstract

Anonymity is a security property of paramount importance, as we move steadily towards a wired, online community. Its import touches upon subjects as different as eGovernance, eBusiness and eLeisure, as well as personal freedom of speech in authoritarian societies. Trust metrics are used in anonymity networks to support and enhance reliability in the absence of verifiable identities, and a variety of security attacks currently focus on degrading a user's trustworthiness in the eyes of the other users.

Item Type: Article
DOI/Identification number: 10.1017/S0960129513000650
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Mu Yang
Date Deposited: 03 Aug 2021 14:15 UTC
Last Modified: 17 Aug 2022 11:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/89602 (The current URI for this page, for reference purposes)

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