Analysis of packet loss under black hole and selective forwarding attacks for cluster-based wireless sensor networks

Nowadays, Wireless Sensor Networks (WSNs) are widely used in various fields ranging from health monitoring to military monitoring systems. Besides the advantages of low power requirement and easy deployment, it has unique problems that have to be solved. The open nature of the wireless transmission environment and the resource constraints of the sensor nodes in WSNs results in special solutions for security problems. Insider attacks are the most dangerous types of attacks that prevent successful data collection from the network and can not be captured by traditional cryptographic methods. In this study, black hole and selective forwarding attacks, which are included in the routing layer internal attacks, is modelled and performed under different network sizes. The results obtained from the simulations show that average packet loss rates are up to 43% of black hole attacks and 28% of selective routing attacks, and that the loss rate increases as the network size increases