The integration of social networking concepts into Internet of Things systems is a burgeoning topic of research that promises to support novel and more powerful applications. In this paper we focus on the design and implementation of a highly scalable Trust and Reputation Model for the Internet of Things based on the social approach that the COSMOS project introduces, as part of its final results. We create our model by combining popular solutions proposed for Peer-to-Peer and mobile ad-hoc networks and adapting them on the Internet of Things concept. Each Thing can compute the Trust index of another Thing based on its own experiences, while it has the capability of determining its Reputation Index either by consulting its other "friends" (Followees) or referring to the Platform, a management system used in COSMOS. The model is tested through simulations of the proposed social system, demonstrating the ability of TRM-SIoT to achieve the Social Exclusion of malicious nodes and collectives from the network, with low computational overhead and high scalability. Furthermore, due to the adaptive nature of the system, Social Reintegration of these nodes is also possible.
Recently, the idea that the Internet of Things (IoT) systems can be advantaged in many ways by integrating social networking concepts is gaining momentum. In this paper we present the social approach that the COSMOS project introduces. COSMOS supports knowledge flow between Things in order to provide a system that learns, observes and evaluates the usage and communication patterns and generates new knowledge. It focuses on the value of experience and experiencesharing and investigates models and principles designed for the social networks, which would provide it with the potential to support novel applications in more effective and efficient ways.
In this paper, we demonstrate the multiple points of innovation when combining blockchain technology with Internet of Things (IoT) and security frameworks. The deployment and use of IoT device networks in smart city environments has produced an enormous amount of data. The fact that those data are possessed by multiple sources that use independent systems for data collection, storage, and use impedes the exploitation of their value. Blockchains, as distributed ledgers, can be used for addressing the development of a universal system for data collection and distribution. Smart contracts can be used to automate all the processes of such a network, while at the same time, blockchain and the InterPlanetary File System (IPFS) protect sensitive data through anonymity and distributed storage. An innovative and open IoT blockchain market of applications, data, and services is proposed that: (i) provides the framework upon which objects and people can exchange value in form of virtual currencies, for assets (data and services) received; (ii) defines the motivation incentives according to social and business context for humans and smart objects to interact. The specific marketplace is piloted through a cross-border trial between Santander and Fujisawa, in the context of the M-Sec project, validating thus the interoperability, efficiency, and data protection principles.
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