AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks
In P2P networks, self-organizing anonymous peers share different resources without a central entity controlling their interactions. Peers can join and leave the network at any time, which opens the door to malicious attacks that can damage the network. Therefore, trust management systems that can en...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | https://hdl.handle.net/1721.1/139641.3 |
| _version_ | 1811087444061192192 |
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| author | Al-Otaiby, Nehal Alhindi, Afnan Kurdi, Heba A. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Al-Otaiby, Nehal Alhindi, Afnan Kurdi, Heba A. |
| author_sort | Al-Otaiby, Nehal |
| collection | MIT |
| description | In P2P networks, self-organizing anonymous peers share different resources without a central entity controlling their interactions. Peers can join and leave the network at any time, which opens the door to malicious attacks that can damage the network. Therefore, trust management systems that can ensure trustworthy interactions between peers are gaining prominence. This paper proposes AntTrust, a trust management system inspired by the ant colony. Unlike other ant-inspired algorithms, which usually adopt a problem-independent approach, AntTrust follows a problem-dependent (problem-specific) heuristic to find a trustworthy peer in a reasonable time. It locates a trustworthy file provider based on four consecutive trust factors: current trust, recommendation, feedback, and collective trust. Three rival trust management paradigms, namely, EigenTrust, Trust Network Analysis with Subjective Logic (TNA-SL), and Trust Ant Colony System (TACS), were tested to benchmark the performance of AntTrust. The experimental results demonstrate that AntTrust is capable of providing a higher and more stable success rate at a low running time regardless of the percentage of malicious peers in the network. |
| first_indexed | 2024-09-23T13:46:11Z |
| format | Article |
| id | mit-1721.1/139641.3 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:46:11Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/139641.32022-02-10T19:48:17Z AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks Al-Otaiby, Nehal Alhindi, Afnan Kurdi, Heba A. Massachusetts Institute of Technology. Department of Mechanical Engineering In P2P networks, self-organizing anonymous peers share different resources without a central entity controlling their interactions. Peers can join and leave the network at any time, which opens the door to malicious attacks that can damage the network. Therefore, trust management systems that can ensure trustworthy interactions between peers are gaining prominence. This paper proposes AntTrust, a trust management system inspired by the ant colony. Unlike other ant-inspired algorithms, which usually adopt a problem-independent approach, AntTrust follows a problem-dependent (problem-specific) heuristic to find a trustworthy peer in a reasonable time. It locates a trustworthy file provider based on four consecutive trust factors: current trust, recommendation, feedback, and collective trust. Three rival trust management paradigms, namely, EigenTrust, Trust Network Analysis with Subjective Logic (TNA-SL), and Trust Ant Colony System (TACS), were tested to benchmark the performance of AntTrust. The experimental results demonstrate that AntTrust is capable of providing a higher and more stable success rate at a low running time regardless of the percentage of malicious peers in the network. 2022-02-10T19:48:16Z 2022-01-20T15:48:18Z 2022-01-20T15:51:38Z 2022-02-10T19:48:16Z 2022-01 2021-12 2022-01-20T15:24:38Z Article http://purl.org/eprint/type/JournalArticle 1424-8220 https://hdl.handle.net/1721.1/139641.3 Sensors 22 (2): 533 (2022) http://dx.doi.org/10.3390/s22020533 Sensors Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/octet-stream Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Al-Otaiby, Nehal Alhindi, Afnan Kurdi, Heba A. AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks |
| title | AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks |
| title_full | AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks |
| title_fullStr | AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks |
| title_full_unstemmed | AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks |
| title_short | AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks |
| title_sort | anttrust an ant inspired trust management system for peer to peer networks |
| url | https://hdl.handle.net/1721.1/139641.3 |
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