Towards Intelligent Access Control in Internet of Things
Lvguan Xu, Huan Luo, Zhanhui Xiao, Ting Jung Yu, Tianshi Mu, Honghua Tan, Qinwen Mi · 2024
The Internet of Things (IoT) has experienced significant growth and widespread application across diverse fields, including healthcare, transportation, agriculture, and the smart home. As the IoT devices routinely transmit sensitive and private data over the Internet, they are particularly vulnerable to hacking and tampering attacks. It is essential to implement crucial and effective security measures for the IoT. Standing out as a crucial safeguard, the access control can effectively shield data and resources from unauthorized access. Due to its diversity, heterogeneity, and dynamism, the IoT presents many challenges for access control. Towards intelligent access control in IoT, we propose a Transformer-based access control method, leveraging its ability to effectively capture long-range dependencies and its flexibility in modeling various types of access requests. The experimental results demonstrate that our proposed Transformer-based method outperforms the state-the-art methods in making access decisions in the IoT.