Wormhole attack detection techniques in ad-hoc network: A systematic review

Abstract

Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can communicate without pre-existing infrastructure. Owning to utilization of open medium access and dynamically changing network topology, MANETs are vulnerable to different types of attacks such as blackhole attack, gray hole attack, Sybil attack, rushing attack, jellyfish attack, wormhole attack (WHA), byzantine attack, selfishness attack, and network partition attack. Out of these, worm hole attack is the most common and severe attack that substantially undermines the performance of the network and disrupts the most routing protocols. In the past two decades, numerous researchers have explored the number of techniques to detect and mitigate the effect of WHAs to ensure the safe operation of wireless networks. Hence, in this article, we mainly focus on the WHAs and present the different state of art methods, which have been employed in previous years to discern WHA in wireless networks. The existing WHA detection techniques are lacking due to usage of additional hardware, higher delay, and consumption of higher energy. Round trip time (RTT) based detection methods are showing better results as they do not require additional hardware. Machine learning (ML) techniques can also be applied to ad-hoc network for anomaly detection and has a great influence in future; therefore, ML techniques are also analyzed for WHA detection in this article. SVM technique is mostly used by the researchers for outstanding results. It has been analyzed that hybrid approach which uses the traditional detection technique and ML technique are showing better results for WHA detection. Finally, we have identified the areas where further research can be focused so that we can apply the WHA detection methods for larger topological area for more flexibility and accurate results.

Improving Mobile Ad hoc Networks through an investigation of AODV, DSR, and MP-OLSR Routing Protocols

“…The performance of these protocols varies based on parameters like packet loss and energy consumption [7]. The MP-OLSR hybrid protocol demonstrated higher performance than AODV and DSR in specific contexts, but its efficacy might vary with different network configurations and mobility patterns [8]. AODV showcased better performance under high mobility scenarios, proving advantageous for real-time applications compared to DSR [9].…”

Secure Cooperative Routing in Wireless Sensor Networks

“…Wireless sensor systems (WSNs) have encountered breathtaking development in recent years due to decreasing costs and a wide range of applications. In a WSN, a large number of sensor nodes are installed for gathering information from a monitored environment and transmitting it using the wireless medium to the base station [1]. Despite their advantages, WSNs face unique challenges such as limited storage, energy constraints, and high node density, which distinguish them from other wireless networks [2].…”

An adaptive technique for wormhole attack detection in MANET using quantized ad-hoc on-demand multipath distance vector routing protocol

“…As a result, the node that is actually transferring the data packets to the recipient node wastes energy. In participation mode, the malicious node is visible to all nodes and the worm-hole attack is conducted through hidden mode 7 , during which authenticated nodes are unaware of the malicious nodes, and its activity is categorised as both an in-band attack and an out-of-band attack 8 . While the out-of-band approach will build an additional tunnel without degrading the nearby nodes, an in-band attack will tunnel through neighbouring nodes, which will reduce the energy consumption of legitimate nodes and malevolent nodes 9 .…”