A Sparrow Search Algorithm for Detecting the Cross-layer Packet Drop Attack in Mobile Ad Hoc Network (MANET) Environment

Abstract

AbstractDue to the wide range of applications and ease of deployment, mobile ad hoc networks (MANETs) have become increasingly popular. There is no need for a fixed infrastructure in this network. Mobile nodes of this network connection via a wireless channel making it very vulnerable to various attacks. Purposes: The packet drop attack is a famous attack type. The easiest way to cause service denial is in such dynamic networks are a packet drop or gray hole attack. This attack reflects the malicious node to be the shortest route, and entire packets are received while the designated packets are dropped to provide the user with the wrong service. It is a special type of attack that defends the system and the user from misuse. When a network is attacked, it suffers from network performance. Methods: A sparrow search algorithm for a cross-layer packet drop-off attack (CLPDM-SSA) is proposed in this paper. This proposal is used to identify a malicious node within a real-world data acquisition system that was subjected to a packet drop (PD) attack with a cluster-based meta-heuristic detection device. Results: NS-2 is used for implementation, and the validation is carried out in terms of throughput, packet delivery ratio (PDR), mean PD, and false positive rate. Conclusion: After integrating SSA intelligence, the results reveal considerable gains. The algorithm detects false positives of suspected malicious nodes by analyzing the CPU and the memory.KeywordsCross-layer packet drop attackMobile nodesMalicious nodePacket delivery ratioSparrow search algorithm