TrIDS: an intelligent behavioural trust based IDS for smart healthcare system

摘要

The Medical Cyber-Physical Systems (MCPS) are composed of several medical devices and low-cost sensors for real-time diagnosis, monitoring, and decision-making. Often, the MCPS sensitive data are processed by a trusted third party. Thus, the movement of MCPS sensitive data from the data owner to the third party becomes vulnerable to many malicious activities. Also, insider attacks can be easily performed, leaking the patient's confidential data. To overcome such security issues, the MCPS needed an Intrusion Detection System (IDS) to identify malicious activities and monitor network traffic in real-time. This paper proposes an IDS based on the behavioural trust of the Smart Medical Device (SMD) like the Medical Smart Phone (MSP). The trust value of the SMD/MSP can be evaluated using different behavioural parameters with the beta reputation model. A set of decision rules based on the dynamically computed trust degree has been proposed to check the node's intrusive level and alert generation process. The performance of the proposed model shows 93.9 accuracy. The time and space complexity (time complexity = O(n(3)) and space complexity = O(1)) and CPU overhead of the proposed model is also computed. These results show the improved performance of the proposed model.