The Detection of Malicious Nodes from IoT

Abstract

IoT infrastructure to gain access to potentially useful information. The devices in the IoT are capable of producing, processing, and exchanging not only the enormous volume of data related to security and safety but the privacy-sensitive information also. Thus, several attacks are inclined towards these devices. Location protection is the denial of service attack which reduces network performance. The technique is proposed in this research work is based on the threshold and monitor mode for the detection of malicious nodes. The proposed methodology is implemented in NS2 and results are analyzed in terms of throughput, packet loss, and delay.