A Key Management Scheme for IoT-Based Video Surveillance Systems Based on Fingerprints
Ihsen Nakouri, Mohamed Hamdi, Tai-hoon Kim · 2018
Nowadays, the evolving threats of terrorist and criminal attacks against public places have urged the need for active video surveillance systems. Such systems rely on video analytics modules that identify and pre-alarm abnormal events occurring in sensed visual scenes in real-time. By implementing these smart features in the digital cameras, the design of distributed and adaptive physical security policies is made possible. Yet, within these systems, data security and privacy are a major concern. In this paper, we introduce a video surveillance system whose architecture is based on the IoT model. The device layer of this architecture includes smart cameras that communicate in machine-to-machine (M2M) manner. Then, we propose a tunneling framework that ensures the security of the M2M communications. The novelty of this framework is that it uses a shared secret in order to generate a cipher key and the video sensor fingerprints as the main authentication parameter. The security evaluation of our framework has also shown its resistance to well known attacks.