The University of Southampton
University of Southampton Institutional Repository

Attack strategies and analysis for trust and reputation systems

Attack strategies and analysis for trust and reputation systems
Attack strategies and analysis for trust and reputation systems
Dataset supports: Gunes, T. D., Tran-Thanh, L., & Norman, T. (2019). Identifying vulnerabilities in trust and reputation systems. Paper presented at International Joint Conference on Artificial Intelligence, Macao, China.This software package contains the implementation of following components: (1) Implementation of several popular and state-of-the-art trust and reputation systems; (2) two attack search mechanisms that can treat models as a blackbox. (3) a simulation environment for generating populations for benchmarking. The license for the use of this software is based on BSD, and a free commercial license is available; details provided in the source code. Details are provided in the source code. Please see the README.txt file for further information. File size: 81039403 bytes SHA256 checksum: 3804b83f1968a157eb4603ec870a3eeb30613d702dc2495b7f077c6a1b6490c0
trust and reputation systems, security and privacy, artificial intelligence
University of Southampton
Gunes, Taha, Dogan
d250eea0-636d-41a8-96c0-a50813e4b780
Tran-Thanh, Long
e0666669-d34b-460e-950d-e8b139fab16c
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Gunes, Taha, Dogan
d250eea0-636d-41a8-96c0-a50813e4b780
Tran-Thanh, Long
e0666669-d34b-460e-950d-e8b139fab16c
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d

Gunes, Taha, Dogan, Tran-Thanh, Long and Norman, Timothy (2019) Attack strategies and analysis for trust and reputation systems. University of Southampton doi:10.5258/SOTON/D0937 [Dataset]

Record type: Dataset

Abstract

Dataset supports: Gunes, T. D., Tran-Thanh, L., & Norman, T. (2019). Identifying vulnerabilities in trust and reputation systems. Paper presented at International Joint Conference on Artificial Intelligence, Macao, China.This software package contains the implementation of following components: (1) Implementation of several popular and state-of-the-art trust and reputation systems; (2) two attack search mechanisms that can treat models as a blackbox. (3) a simulation environment for generating populations for benchmarking. The license for the use of this software is based on BSD, and a free commercial license is available; details provided in the source code. Details are provided in the source code. Please see the README.txt file for further information. File size: 81039403 bytes SHA256 checksum: 3804b83f1968a157eb4603ec870a3eeb30613d702dc2495b7f077c6a1b6490c0

Other
satmbo.tar.xz - Software
Download (80MB)

More information

Published date: 2019
Keywords: trust and reputation systems, security and privacy, artificial intelligence

Identifiers

Local EPrints ID: 431375
URI: https://eprints.soton.ac.uk/id/eprint/431375
PURE UUID: 8a28d985-528b-4bd7-831a-41b0cab0e17a
ORCID for Taha, Dogan Gunes: ORCID iD orcid.org/0000-0003-2774-7027
ORCID for Long Tran-Thanh: ORCID iD orcid.org/0000-0003-1617-8316
ORCID for Timothy Norman: ORCID iD orcid.org/0000-0002-6387-4034

Catalogue record

Date deposited: 30 May 2019 16:31
Last modified: 30 Aug 2019 00:26

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×