BBAD: Blockchain-Backed Assault Detection for Cyber Physical Systems

【Author】 Anwar, Masooma; Tariq, Noshina; Ashraf, Muhammad; Moqurrab, Syed Atif; Alabdullah, Bayan; Alsagri, Hatoon S.; Almjally, Abrar

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】Cybersecurity challenges pose a significant threat to Healthcare Cyber Physical Systems (CPS) because they heavily rely on wireless communication. Particularly, jamming attacks can severely disrupt the integrity of these CPS networks. This research introduces a decentralized system to address this issue. Therefore, this paper suggested a system that leverages trust and blockchain technology to detect jamming attacks in healthcare CPS effectively. It proposes a layered model to improve CPS networks' lifetime and performance. In smart healthcare environments, it ensures secure and reliable communication between sensor nodes, wearable sensors, medical devices, and monitoring systems. Results show that the suggested approach outperforms the baseline model in identifying and minimizing jamming assaults, with an average percentage difference of 15.71% more detection rate, 20.21% less packet loss rates, 16.65% less node-level energy consumption, reduced network latency of 8.29%, and 9.63% more network throughput.

【Keywords】Smart healthcare; Cyber-physical systems; jamming attacks; sensor nodes; trust; Smart healthcare; Cyber-physical systems; jamming attacks; sensor nodes; trust

【发表时间】2024

【收录时间】2024-08-10

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-医疗领域