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Trust Management Approach for Detection of Malicious Devices in SIoT

Priyanka Hankare ; AISSMS IOIT, Pune - RTO road, Sangamwadi, Pune-411001, India
Sachin Babar ; STES, Lonavala - Kusgaon (BK) off. Mumbai-Pune Expressway, Lonavala-410401, India
Parikshit Mahalle ; SKNCOE, Pune - Wadgaon (BK), Pune-411041, India

Puni tekst: engleski pdf 1.075 Kb

str. 43-50

preuzimanja: 835



Internet of Things (IoT) is an innovative era of interrelated devices to provide services to other devices or users. In Social Internet of Thing (SIoT), social networking aspect is used for building relationships between devices. For providing or utilizing services, devices need to trust each other in complex and heterogeneous environments. Separating benign and malicious devices in SIoT is a prime security objective. In literature, several works proposed trust computation models based on trust features. But these models fail to identify malicious devices. This paper focuses on detection of malicious devices. In this paper, basic fundamentals, properties, models and attacks of trust in SIoT are discussed. Up-to-date research distributions on trust management and trust attacks are reviewed and idea of Trust Management using Machine Learning Algorithm (TM-MLA) is proposed for identification of malicious devices.

Ključne riječi

IoT; SIoT; Trust Attacks; Trust Management; Trust properties

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