Trustworthiness Management in the Social Internet of Things

Abstract

The integration of social networking concepts into the Internet of things has led to the Social Internet of Things (SIoT) paradigm, according to which objects are capable of establishing social relationships in an autonomous way with respect to their owners with the benefits of improving the network scalability in information/service discovery. Within this scenario, we focus on the problem of understanding how the information provided by members of the social IoT has to be processed so as to build a reliable system on the basis of the behavior of the objects. We define two models for trustworthiness management starting from the solutions proposed for P2P and social networks. In the subjective model each node computes the trustworthiness of its friends on the basis of its own experience and on the opinion of the friends in common with the potential service providers. In the objective model, the information about each node is distributed and stored making use of a distributed hash table structure so that any node can make use of the same information. Simulations show how the proposed models can effectively isolate almost any malicious nodes in the network at the expenses of an increase in the network traffic for feedback exchange

Trust Management in Social Internet of Things: A Survey

“…-Trust should be asymmetric: Which means that two people tied by a relationship may have different levels of trustworthiness each other. The fact that A trusts B does not imply that B should trust A [13]. -Trust should be subjective: Trust is inherently a personal opinion which is based on various factors or evidence, and that some of those may carry more weight than others [10].…”

“…It provision a millions of services, with strict real-time requirements and striking flexibility in connecting everyone and everything [13]. Interconnected things such as sensors or mobile devices sense, monitor and collect all kinds of data about human social life.…”

Social Structure Analysis in Internet of Vehicles

“…The information collected, although valuable might be affected by a poor quality or may be maliciously corrupted by rogue vehicles to some purpose. SIoV can offer a framework to assess the trustworthiness of each contributing vehicle [6], [7]. Also, SIoV offers a framework to improve the quality of the shared information, so that vehicles belonging to a given social group can provide a better information to others.…”

On Software Standards and Solutions for a Trusted Internet of Things

“…Important related work is being done applying social graph concepts for trust management of IoT devices [21], especially for devices that operate more autonomously, making greater demands on our ability to reason about trust and automate its management.…”