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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
19edfddb-8c8e-49f1-83eb-f7fca56e737a
Tran-Thanh, Long
e0666669-d34b-460e-950d-e8b139fab16c
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Gunes, Taha
19edfddb-8c8e-49f1-83eb-f7fca56e737a
Tran-Thanh, Long
e0666669-d34b-460e-950d-e8b139fab16c
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d

Gunes, Taha, 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

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Published date: 2019
Related URLs:
Keywords: trust and reputation systems, security and privacy, artificial intelligence
Learn more about Cyber Security research Learn more about Agents, Interactions and Complexity research

Identifiers

Local EPrints ID: 431375
URI: http://eprints.soton.ac.uk/id/eprint/431375
DOI: doi:10.5258/SOTON/D0937
PURE UUID: 8a28d985-528b-4bd7-831a-41b0cab0e17a
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: 06 May 2023 01:51

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Contributors

Creator: Taha Gunes
Creator: Long Tran-Thanh ORCID iD
Creator: Timothy Norman ORCID iD

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