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Internet of Things (IoT) Framework for Granting Trust among Objects
Vera Suryani,Selo Sulistyo,Widyawan Widyawan 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.6
The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible forboth consuming and providing services. Undue access from irresponsible activities becomes an interestingissue to address. Maintenance of data integrity and privacy of objects is important from the perspective ofsecurity. Privacy can be achieved through various techniques: password authentication, cryptography, and theuse of mathematical models to assess the level of security of other objects. Individual methods like these areless effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworksare considered better, regardless of the framework model used, whether centralized, semi-centralized, ordistributed ones. In this paper, we propose a new semi-centralized security framework that aims to improveprivacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputationcoordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object todetermine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can beused as an alternative solution for improving security in the IoT.
Two-Phase Security Protection for the Internet of Things Object
Vera Suryani,Selo Sulistyo,Widyawan Widyawan 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.6
Securing objects in the Internet of Things (IoT) is essential. Authentication model is one candidate to securean object, but it is only limited to handle a specific type of attack such as Sybil attack. The authenticationmodel cannot handle other types of attack such as trust-based attacks. This paper proposed two-phasesecurity protection for objects in IoT. The proposed method combined authentication and statistical models. The results showed that the proposed method could handle other attacks in addition to Sybil attacks, such asbad-mouthing attack, good-mouthing attack, and ballot stuffing attack.