Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research

TL;DR

This paper systematically reviews malicious node detection methods in wireless multi-hop networks, highlighting challenges, categorizing network types, and providing recommendations for future research to improve network security and performance.

Contribution

It offers a comprehensive classification and comparison of existing malicious node detection techniques across various wireless network types, and suggests future research directions.

Findings

Malicious nodes significantly degrade network performance.

Detection methods vary across network types.

Future research should focus on robust, scalable detection techniques.

Abstract

Wireless communication provides great advantages that are not available through their wired counterparts such as flexibility, ease of deployment and use, cost reductions, and convenience. Wireless multi-hop networks (WMN) do not have any centralized management infrastructure. Wireless multi-hop networks have many benefits since proposed. In such networks when a node wants to send a packet to a destination where is not in the transmission range, depend on some intermediate nodes. In this type of networks packet sending is in the form of multiple hop until destination and this work is dynamic. Lack of centralized management cause that some nodes show malicious function. Malicious nodes are that receive packets and drop them maliciously. These malicious nodes could have many reasons such as hardware failure, software failure or lack of power. Such nodes make multiple packets drop from the network and the performance of network strongly decreases. As a result, the throughput of the network decrease, increase end-to-end delay and increase overhead. Therefore, we must aware from presence of malicious node in the network and do routing based on this awareness. Therefore, this paper aims to study and review the present malicious node detection methods that proposed in literatures. We categorized networks in groups, including ad hoc networks, MANET, DTN, Opportunistic networks, WSN, VANET and other wireless networks and compare malicious node detection met