Wormhole Attack Detection using Energy Model in MANETs

Gayathri, S.; Seetharaman, R.; Subramanian, Lalitha; Premkumar, S.; Viswanathan, S.; Chandru, S.

doi:10.1109/icpedc47771.2019.9036536

Cited by 7 publications

(6 citation statements)

References 1 publication

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“…Since, the request to the path is distributed to all hubs in the network, and there is a chance of more intruder nodes in this case, resulting in a worm-hole attack. Thus, Gayathri et al (2019) proposed a worm-hole discovery mechanism to determine the malevolent hub in the system. The worm holes are produced by high-power transmission link and are found using residual energy computation of each hub.…”

Section: Related Workmentioning

confidence: 99%

Intrusion detection in mobile ad-hoc network using Hybrid Reactive Search and Bat algorithm

Srilakshmi

Muthukuru

2021

IJIUS

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PurposeThe mischievous nodes that defy the standard corrupt the exhibition of good nodes considerably. Therefore, an intrusion discovery mechanism should be included to the mobile ad-hoc network (MANET). In this paper, worm-hole and other destructive malignant attacks are propelled in MANET.Design/methodology/approachA wireless ad-hoc network also called as mobile ad-hoc network (MANET) is a gathering of hubs that utilizes a wireless channel to exchange information and coordinate together to establish information exchange among any pair of hubs, without any centralized structure. The security issue is a major difficulty while employing MANETs.FindingsConsequently, the attacks due to the malicious node activity are detected using Hybrid Reactive Search and Bat (HRSB) mechanism to prevent the mischievous nodes from entering the network beneath the untruthful information. Moreover, the attack detection rate and node energy are predicted for determining the lifetime of the node.Originality/valueThe simulation outcomes of the proposed HRSB technique are evaluated with the prevailing methods. The comparison studies have proven the efficacy of the current research model by attaining high attack detection rate and achieving more network lifetime.

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Section: Related Workmentioning

confidence: 99%

Intrusion detection in mobile ad-hoc network using Hybrid Reactive Search and Bat algorithm

Srilakshmi

Muthukuru

2021

IJIUS

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“…The research of Ref. [53] presented a high-power transmission technique with a high packet delivery ratio and less end-to-end delay for recognising wormholes in mobile ad-hoc networks (MANETs). MANETs use WLAN technology for communication.…”

Section: High-power Transmission-based Systemsmentioning

confidence: 99%

“…It detects wormhole attacks at a high rate and consumes less energy; however, this scheme does not work well in networks with changing communication ranges of nodes. A high-power transmission technique was presented [53], providing a high packet delivery ratio and less end-to-end delay. However, this scheme uses the AODV protocol, which provides no scalability [70].…”

Section: Performance Analysis 41 Critical Analysismentioning

confidence: 99%

AI-Based Wormhole Attack Detection Techniques in Wireless Sensor Networks

et al. 2022

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The popularity of wireless sensor networks for establishing different communication systems is increasing daily. A wireless network consists of sensors prone to various security threats. These sensor nodes make a wireless network vulnerable to denial-of-service attacks. One of them is a wormhole attack that uses a low latency link between two malicious sensor nodes and affects the routing paths of the entire network. This attack is brutal as it is resistant to many cryptographic schemes and hard to observe within the network. This paper provides a comprehensive review of the literature on the subject of the detection and mitigation of wormhole attacks in wireless sensor networks. The existing surveys are also explored to find gaps in the literature. Several existing schemes based on different methods are also evaluated critically in terms of throughput, detection rate, low energy consumption, packet delivery ratio, and end-to-end delay. As artificial intelligence and machine learning have massive potential for the efficient management of sensor networks, this paper provides AI- and ML-based schemes as optimal solutions for the identified state-of-the-art problems in wormhole attack detection. As per the author’s knowledge, this is the first in-depth review of AI- and ML-based techniques in wireless sensor networks for wormhole attack detection. Finally, our paper explored the open research challenges for detecting and mitigating wormhole attacks in wireless networks.

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“…Moreover, the wireless link and nodes are highly susceptible to attacks. The communication channel is affected by several malicious activities such as WH attacks [21], GH attacks [22], DDoS attacks [23], and BH attacks [24]. The most common attack in MANET is the WH attack, which can be dropped the packets and break the link.…”

Section: Problem Statementmentioning

confidence: 99%