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The pervasive nature of smart connected devices has intruded on our daily lives and has become an intrinsic part of our world. However, the wide use of the Internet of Things (IoT) in critical application domains has raised concerns for user privacy and security against growing cyber threats. In particular, the implications of cyber exploitation for IoT devices are beyond financial losses and could constitute risks to human life. Most deployed access control solutions for smart IoT systems do not offer policy individualization, the ability to specify or change the policy according to the individual user’s preference. As a result, currently deployed systems are not well suited to specify access control policies in a multi-user environment, where users access the same devices to perform different operations. The system’s security gets tricky when the smart ecosystem involves complicated social relationships, much like in a smart home. Relationship-based access control (ReBAC), widely used in online social networks, offers the ability to consider user relationships in defining access control decisions and supports policy individualization. However, to the best of our knowledge, no such attempt has been made to develop a formal ReBAC model for smart IoT systems. This paper proposes a ReBACIoT dynamic and fine-grained access control model which considers the social relationships among users along with the attributes to support an attributes-aware relationship-based access control model for smart IoT systems. ReBACIoT is formally defined, illustrated through different use cases, implemented, and tested.
Praharaj et al. (Thu,) studied this question.