Towards Intrusion Detection to Secure VANET-Assisted Healthcare Monitoring System

Remote healthcare monitoring (RHM) has been used in contemporary disease management to improve the quality of life. A Secure VANET-Assisted Remote Healthcare Monitoring System is very importance due to privacy and sensitivity of the health data. In wireless network different kind of attacks produce and involve the core functionality of VANET-Assisted Remote Healthcare Monitoring System. DoS and DDoS are two important attacks and both are related to the network availability. This study provides the detail description and working mechanism of DoS and DDoS attack in VANET-Assisted Remote Healthcare Monitoring System. Further, it proposes the possible solutions to detect and prevent such attacks in network and make sure for end users to continuous access the network. Moreover, the random forest algorithm is proposed and applied to the bench-marked dataset for the detection of the attacks that may improve the security of RHM systems. The performance is addressed in accuracy, precision and recall metrics.