SecTrust : a trust and recommendation system for Peer-2-Peer networks
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Other Title
Authors
Airehrour, David
Gutierrez, J.
Ray, S. K.
Gutierrez, J.
Ray, S. K.
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2018-06
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Type
Conference Contribution - Paper in Published Proceedings
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
peer-to-peer LANs
SecTrust (trust systems)
trust systems
recommendation systems
Internet of Things (IoT)
IoT
SecTrust (trust systems)
trust systems
recommendation systems
Internet of Things (IoT)
IoT
ANZSRC Field of Research Code (2020)
Citation
Airehrour, D., Gutierrez, J., & Ray, S. K. (2018). SecTrust: A Trust and Recommendation System for Peer-2-Peer Networks. In L. J. Janczewski (Ed.), International Conference on Information Resources Management (CONF-IRM) 2018 Proceedings (pp. 41-52). Retrieved from https://aisel.aisnet.org/confirm2018/41
Abstract
The concept of Trust has been applied in many information systems such as e-commerce, social networks and smart grid networks. It is currently getting attention on the Internet of Things. The fundamental concept in Trust, is the ability of a user to evaluate its neighbour, or a recommended neighbour with the hope of being able to trust that user. In this paper, we propose SecTrust, which is a trust-based system that computes trust values as a time-based packet forwarding behaviour of a node in a peer-2-peer (P2P) network. It uses a trust rating iteration and rating scheme to select only trusted nodes for communication while isolating malicious nodes in the network. A penalty is also introduced in our system that penalizes the continuous misbehaviour of a node in the network. Simulation evaluation results show the superior performance of SecTrust over other trust systems in isolating malicious peers, improving information interaction success rates, enhancing trust formation, and promoting better reputation between trusted peer nodes.
Publisher
International Conference on Information Resources Management (CONF-IRM) at AIS Electronic Library (AISeL)
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