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An artificial intelligence approach for enhancing trust between social IoT devices in a network

Publication Type : Book Chapter

Source : In Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications: Emerging Technologies for Connected and Smart Social Objects, Springer, pp. 183-196, July, 2019

Url : https://link.springer.com/chapter/10.1007/978-3-030-24513-9_11

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2019

Abstract : In the present communication era, physical objects or things begin to communicate with each other and share information using the Internet as backbone. This enables the things to be smarter and capable of communicating with authenticated devices and it has evolved the term Internet of Things (IoT). Social IoT (SIoT) devices engage and adopt social networking paradigms between the smart devices. Enabling socialization requires trusted linkage between the smart devices. Privacy and Security enhancements between SIoT devices are serious concern and are highly mandatory in the current communication era. By solving the challenges in establishing the trust between SIoT devices, in turn enhances their security aspects. Cyber profiteers may make use of those feebleness of the SIoT devices to gain profit out of it unethically. This chapter deals with DeepChain framework, Artificial Intelligence (AI) technique for imparting robust trust between SIoT devices considering Quora, Facebook and Twitter social networks. Here, trustworthiness is evaluated in a bilateral manner between the trustor and trustee SIoT devices for making authenticated devices to survive and be safer in the network and environment. SimpleLink Wi-Fi modules are configured to form mesh network of SIoT device for experimentation along with set of simulated nodes. Trust transitivity calculations are made using traditional, conservative and aggressive. Performance of the trust evaluation scheme is analyzed for dynamic environment for distinguishing malicious behavior of SIoT nodes using AI algorithms for two different cases. The case with delegated success rates, gain, damage and cost to the trustee SIoT devices performs better than the case with success rates alone. Quora social network has better success rate while undergoing aggressive mode of transitivity calculations.

Cite this Research Publication : Senthil Kumar, J., Sivasankar Ganesan, and S. Selva Nidhyananthan. “An artificial intelligence approach for enhancing trust between social IoT devices in a network.” In Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications: Emerging Technologies for Connected and Smart Social Objects, Springer, pp. 183-196, July, 2019

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