Trust Management for SOA-Based IoT and Its Application to Service Composition

Abstract

Abstract-A future Internet of Things (IoT) system will connect the physical world into cyberspace everywhere and everything via billions of smart objects. On the one hand, IoT devices are physically connected via communication networks. The service oriented architecture (SOA) can provide interoperability among heterogeneous IoT devices in physical networks. On the other hand, IoT devices are virtually connected via social networks. In this paper we propose adaptive and scalable trust management to support service composition applications in SOA-based IoT systems. We develop a technique based on distributed collaborative filtering to select feedback using similarity rating of friendship, social contact, and community of interest relationships as the filter. Further we develop a novel adaptive filtering technique to determine the best way to combine direct trust and indirect trust dynamically to minimize convergence time and trust estimation bias in the presence of malicious nodes performing opportunistic service and collusion attacks. For scalability, we consider a design by which a capacity-limited node only keeps trust information of a subset of nodes of interest and performs minimum computation to update trust. We demonstrate the effectiveness of our proposed trust management through service composition application scenarios with a comparative performance analysis against EigenTrust and PeerTrust.

Trust Management in Social Internet of Things: A Survey

“…Another structure was proposed by [6], who propose an SIOT network based on three kinds of social relationships connecting objects owners: (i) friendship relationship which represents intimacy, (ii) social contact relationship which represents closeness and proximity and (iii) community of interest relationship which refers to common knowledge or experiences.…”

“…However, a new storage management strategy is proposed which permits to use limited storage space and to enhance scalability. [6] propose an adaptive and scalable trust management protocol for SOAbased IoT systems. Distributed collaborating filtering technique is used to select trust feedback from owners of IoT nodes sharing similar social interests and three social relationships are considered for measuring social similarity and filtering trust feedback based on social similarity: (i) friendship, (ii) social contact, and (iii) community of interest.…”

Initial trust establishment for personal space IoT systems

“…In the literature, a number of trust management systems investigating computational trust models have been introduced in wireless networks and in the context of IoT [7]. In computational trust models, Bayesian approaches have been widely used in reputation systems to evaluate trust [8]- [11].…”

“…However, in this approach devices must keep lists of all historical interactions with others. Similarly, Chen et al [8] proposed a trust management for service oriented architecture based IoT by adopting Bayesian framework as the underlying model for evaluating direct trust towards a service from user's experience. The trust value is the weighted combination of his satisfactory direct experience and recommendations from his friends.…”

“…Initially, θ is an unknown parameter and equally likely to take all values between 0 and 1 inclusive. It is reasonable to take p(θ) from the Beta family which is defined as follows [8], [9], [12].…”