A Trust Model Based on Service Classification in Mobile Services
Yang Liu, Zhikui Chen, Feng Xia, Xiaoning Lv, Fanyu Bu

TL;DR
This paper introduces a trust model for mobile services in IoT and B3G/4G networks that classifies services by sensitivity to determine trust levels and authentication methods, enhancing security.
Contribution
It proposes a novel trust model based on service classification and trust regions, integrating authentication history and penalties for improved security in mobile services.
Findings
Effective classification of services by sensitivity.
Trust regions guide authentication methods.
Enhanced security through trust and penalty mechanisms.
Abstract
Internet of Things (IoT) and B3G/4G communication are promoting the pervasive mobile services with its advanced features. However, security problems are also baffled the development. This paper proposes a trust model to protect the user's security. The billing or trust operator works as an agent to provide a trust authentication for all the service providers. The services are classified by sensitive value calculation. With the value, the user's trustiness for corresponding service can be obtained. For decision, three trust regions are divided, which is referred to three ranks: high, medium and low. The trust region tells the customer, with his calculated trust value, which rank he has got and which authentication methods should be used for access. Authentication history and penalty are also involved with reasons.
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