IoT-based Efficient Tamper Detection Mechanism for Healthcare Application

Security of networks is the most important challenge of the Internet of Things (IoT) that need smarter security mechanisms. Therefore, a tamper detection (TD) is an efficient security mechanism based on networks of IoT for healthcare applications, which used to deal with security violations. In this paper, a new TD mechanism based IoT for real data of healthcare application called (IOTTD) model has been proposed. This paper effectively proposed (ANN-GA) tamper detection mechanism. Where, Genetic Algorithm (GA) is used to optimize weight and bias values of artificial neural networks (ANN) which lead to maximize the ANN detection accuracy, minimize the timing detection and efficiency energy saving. The experimental results showed that the tamper detection performance of (ANN-GA) is 98.51%. In addition, the proposed model showed that the (ANN-GA) enhances the timing to 0.03 sec which is important for real time of (IOT-TD) model healthcare application and the efficiency energy saving transmission is 1980 times better than full transmission. Also, the proposed Model relies on the certificate-based DTLS handshake protocol as it is the main security for (IoT-TD) model.