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privy : privacy preserving collaboration across multiple service providers to combat telecoms spam
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Ajmal, Muhammad, Bag, Samiran, Tabassum, Shazia and Hao, Feng (2020) privy : privacy preserving collaboration across multiple service providers to combat telecoms spam. IEEE Transactions on Emerging Topics in Computing, 8 (2). pp. 313-327. doi:10.1109/TETC.2017.2771251 ISSN 2168-6750.
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Official URL: http://dx.doi.org/10.1109/TETC.2017.2771251
Abstract
Nuisance or unsolicited calls and instant messages come at any time in a variety of different ways. These calls would not only exasperate recipients with the unwanted ringing, impacting their productivity, but also lead to a direct financial loss to users and service providers. Telecommunication Service Providers (TSPs) often employ standalone detection systems to classify call originators as spammers or non-spammers using their behavioral patterns. These approaches perform well when spammers target a large number of recipients of one service provider. However, professional spammers try to evade the standalone systems by intelligently reducing the number of spam calls sent to one service provider, and instead distribute calls to the recipients of many service providers. Naturally, collaboration among service providers could provide an effective defense, but it brings the challenge of privacy protection and system resources required for the collaboration process. In this paper, we propose a novel decentralized collaborative system named privy for the effective blocking of spammers who target multiple TSPs. More specifically, we develop a system that aggregates the feedback scores reported by the collaborating TSPs without employing any trusted third party system, while preserving the privacy of users and collaborators.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Library of Congress Subject Headings (LCSH): | Telephone systems -- Security measures, Telephone companies, Telecommunication systems -- Security measures | ||||||||
Journal or Publication Title: | IEEE Transactions on Emerging Topics in Computing | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 2168-6750 | ||||||||
Official Date: | April 2020 | ||||||||
Dates: |
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Volume: | 8 | ||||||||
Number: | 2 | ||||||||
Page Range: | pp. 313-327 | ||||||||
DOI: | 10.1109/TETC.2017.2771251 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 6 December 2018 | ||||||||
Date of first compliant Open Access: | 6 December 2018 | ||||||||
RIOXX Funder/Project Grant: |
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