CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks

• Published in: IEEE transactions on services computing Vol. 11; no. 6; pp. 908 - 921
• Main Authors: Wang, Yating, Chen, Ing-Ray, Cho, Jin-Hee, Swami, Ananthram, Lu, Yen-Cheng, Lu, Chang-Tien, Tsai, Jeffrey J. P.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ad hoc networks; Context modeling; Environmental monitoring; Filtration; Internet of Things; logistic regression; Logistics; Peer-to-peer computing; recommendation attacks; Recommender systems; service-oriented ad hoc networks; Social networks; Statistical analysis; Trust; Trustworthiness
• ISSN: 1939-1374; 1939-1374; 2372-0204
• DOI: 10.1109/TSC.2016.2587259

We propose a context-aware trust management model called CATrust for service-oriented ad hoc networks such as peer-to-peer and Internet of Things networks wherein a node can be a service requester or a service provider. The novelty of our design lies in the use of logistic regression to dynamically estimate trustworthiness of a service provider based on its service behavior patterns in response to context environment changes. We develop a recommendation filtering mechanism to effectively screen out dishonest recommendations even in extremely hostile environments in which the majority recommenders are dishonest. We demonstrate desirable convergence, accuracy, and resiliency properties of CATrust. We also demonstrate that CATrust outperforms contemporary peer-to-peer and Internet of Things trust models in terms of service trust prediction accuracy against collusion recommendation attacks.