A packet traversal time per hop based adaptive wormhole detection algorithm for MANETs

Karlsson, Jonny; Pulkkis, Göran; Dooley, Laurence S.

doi:10.1109/softcom.2016.7772109

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…The LOF method is widely used, and numerous variants on this methodology have been devised, because it achieves respectable detection performance in nonhomogeneous densities without accounting for the distribution of the data set. Local outlier recognition techniques reduce communication overhead and boost scalability by distinguishing local outliers at individual sensor nodes [12]. The MANET provides two options for determining nearby outliers.…”

Section: IImentioning

confidence: 99%

Anomaly Recognition in Wireless Ad-hoc Network by using Ant Colony Optimization and Deep Learning

Paul

2023

IJRITCC

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As a result of lower initial investment, greater portability, and lower operational expenses, wireless networks are rapidly replacing their wired counterparts. The new technology that is on the rise is the Mobile Ad-Hoc Network (MANET), which operates without a fixed network infrastructure, can change its topology on the fly, and requires no centralised administration to manage its individual nodes. As a result, MANETs must focus on network efficiency and safety. It is crucial in MANET to pay attention to outliers that may affect QoS settings. Nonetheless, despite the numerous studies devoted to anomaly detection in MANET, security breaches and performance difficulties keep coming back. There is an increased need to provide strategies and approaches that help networks be more safe and robust due to the wide variety of security and performance challenges in MANET. This study presents outlier detection strategies for addressing security and performance challenges in MANET, with a special focus on network anomaly identification. The suggested work utilises a dynamic threshold and outlier detection to tackle the security and performance challenges in MANETs, taking into account metrics such as end-to-end delay, jitter, throughput, packet drop, and energy usage.

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Section: IImentioning

confidence: 99%

Anomaly Recognition in Wireless Ad-hoc Network by using Ant Colony Optimization and Deep Learning

Paul

2023

IJRITCC

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“…Several novel proposals for secure MANET routing have focused on protection against specific routing attacks such as hidden and participative wormholes. Recent algorithms for trust-based extensions to the routing protocol AODV have been proven by simulations to provide guaranteed protection against certain wormhole types [38], [39]. Interestingly, given their flexibility and lightweight nature, these wormhole detection solutions are certainly extendible to other types of cross-MANET wormholes because of the very long traversal time through the wormhole in comparison to traversal times between nodes within the same MANET.…”

Section: A Security Enhanced Routing Protocolsmentioning

confidence: 99%

Secure Routing for MANET Connected Internet of Things Systems

Karlsson

Dooley

Pulkkis

2018

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)

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This paper presents a contemporary review of communication architectures and topographies for MANETconnected Internet-of-Things (IoT) systems. Routing protocols for multi-hop MANETs are analyzed with a focus on the standardized Routing Protocol for Low-power and Lossy Networks. Various security threats and vulnerabilities in current MANET routing are described and security enhanced routing protocols and trust models presented as methodologies for supporting secure routing. Finally, the paper identifies some key research challenges in the emerging domain of MANET-IoT connectivity.

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An Optimized Multilayer Outlier Detection for Internet of Things (IoT) Network as Industry 4.0 Automation and Data Exchange

Kumar

Sharma

2020

Advances in Intelligent Systems and Computing

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A packet traversal time per hop based adaptive wormhole detection algorithm for MANETs

Cited by 5 publications

References 22 publications

Anomaly Recognition in Wireless Ad-hoc Network by using Ant Colony Optimization and Deep Learning

Anomaly Recognition in Wireless Ad-hoc Network by using Ant Colony Optimization and Deep Learning

Secure Routing for MANET Connected Internet of Things Systems

An Optimized Multilayer Outlier Detection for Internet of Things (IoT) Network as Industry 4.0 Automation and Data Exchange

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