An Adaptive Identification and Prediction of Attacks in MANET: A Survey

Backgrounds/Objectives: The main objective of this methodology is to reduce the packet loss in intermediate nodes by eliminating malicious nodes in the routing path. Causing packet drop due to attacks by malicious nodes is one of the most significant troubles in MANETs.

Methods/Statistical analysis: In Grayhole and Blackhole attack, the malicious nodes are deliberately disrupting data transmission in the network by sending incorrect routing information. It is a challenge to keep the communication route free from such attackers. The research is conducted to find the most considerable methodology that can detect the malicious nodes without degradation of network performance.

Findings: The various research works has been analysed and its performance is evaluated in terms of packet delivery ratio and End To End delay.

Application/Improvements: The findings of this work prove that the intrusion detection and adaptive response (IDAR) mechanism achieves better results than the other approaches in terms of packet delivery ratio and End To End delay.