Trust-based recommendation systems in Internet of Things: a systematic literature review

• Published in: Human-centric computing and information sciences 2019-06, Vol.9 (1), p.1-61, Article 21
• Main Authors: Mohammadi, Venus, Rahmani, Amir Masoud, Darwesh, Aso Mohammed, Sahafi, Amir
• Format: Article
• Language: English
• Subjects: Artificial Intelligence; Communications Engineering; Computer Science; Computer Systems Organization and Communication Networks; Information Systems and Communication Service; Information Systems Applications (incl.Internet); Internet of Things; Literature reviews; Networks; Recommender systems; User Interfaces and Human Computer Interaction
• ISSN: 2192-1962; 2192-1962
• DOI: 10.1186/s13673-019-0183-8

Internet of Things (IoT) creates a world where smart objects and services interacting autonomously. Taking into account the dynamic-heterogeneous characteristic of interconnected devices in IoT, demand for a trust model to guarantee security, authentication, authorization, and confidentiality of connected things, regardless of their functionality, is imperative. However, as far as we know, against the centrality of trust-based recommendation mechanisms in the IoT environment, there is no ambient study for investigating its techniques. In this paper, we present a systematic literature review (SLR) of trust based IoT recommendation techniques so far. Detailed classifications based on extracted parameters as well as investigation existing techniques in three different IoT layers put forth. Moreover, the advantages, disadvantages and open issues of each approach are introduced that can expand more frontier in obtaining accurate IoT recommendation in the future.