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Optimal Resource Sharing Amongst Device-to-Device Communication Using Particle Swarm Algorithm Read chapter Read first chapter

2021 | OriginalPaper | Chapter

A Technique to Detect Wormhole Attack in Wireless Sensor Network Using Artificial Neural Network

Authors : Moirangthem Marjit Singh, Nishigandha Dutta, Thounaojam Rupachandra Singh, Utpal Nandi

Published in: Evolutionary Computing and Mobile Sustainable Networks

Publisher: Springer Singapore

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Abstract

Wormhole attack is a harmful attack that disrupts the normal functioning of the network by manipulating routing protocols and exhausting network resources. The paper presents a technique that detects the presence of wormhole attack in wireless sensor network (WSN) using artificial neural network (ANN). The proposed technique uses connectivity information between any two sensor nodes as the detection feature. The proposed technique has been implemented considering the deployment of sensor nodes in the wireless sensor network area under uniform, Poisson, Gaussian, exponential, gamma & beta probability distributions. The proposed technique does not require any additional hardware resources and gives a comparatively high percentage of detection accuracy.

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previous chapter Analysis of Attention Deficit Hyperactivity Disorder Using Various Classifiers
next chapter A Survey on Methodologies and Algorithms for Mutual Authentication in IoT Devices
Literature
1.
Tomic I, McCann JA (2017) A survey of potential security issues in existing wireless sensor network protocols. IEEE Internet of Things J 4(6):1910–1923
2.
Yang G, Dai L, Wei Z (2018) Challenges, threats, security issues and new trends of underwater wireless sensor networks. Sensors 18(11):3907
3.
Dutta N, Singh MM (2019) Wormhole attack in wireless sensor networks: a critical review. In: Advanced computing and communication technologies. Springer, pp 147–161
4.
Singh MM, Dutta N (2017) Security issues in wireless sensor networks. Int J Distrib Cloud Comput 05(02):7–16
5.
Xie H, Yan Z, Yao Z, Atiquzzaman M (2018) Data collection for security measurement in wireless sensor networks: a survey. IEEE Internet of Things J 6(2):2205–2224CrossRef
6.
Singh R, Singh J, Singh R (2016) WRHT: a hybrid technique for detection of wormhole attack in wireless sensor networks. Mob Inf Syst 2016:13pp. Hindawi Publishing Corperation. Article ID 8354930
7.
Maidamwar P, Chavhan N (2012) A survey on security issues to detect wormhole attack in wireless sensor network. Int J AdHoc Netw Syst (IJANS) 2(4):37–50
8.
Maheshwari R, Gao J, Das SR (2007) Detecting wormhole attacks in wireless networks using connectivity information. In: Proceedings of 26th IEEE international conference on computer communications, Barcelona, Spain, May 2007
9.
Pooja, Chauhan RK (2017) Review on security attacks and countermeasures in wireless sensor networks. Int J Adv Res Comput Sci 8(5):1275–1283
10.
Bendjima M, Feham M (2016) Wormhole attack detection in wireless sensor networks. In: Proceedings of SAI computing conference, London, UK, 13–15 July 2016
11.
Sharma N, Singh U (2014) Various approaches to detect wormhole attack in wireless sensor network. Int J Comput Sci Mob Comput 3(2):29–33
12.
Russell SJ, Norvig P (2003) Artificial intelligence - a modern approach, 2nd edn. Prentice Hall series in artificial intelligence
13.
14.
15.
Buntine WL, Weigend AS (1991) Bayesian back-propagation. Complex Syst 5(6):603–643MATH
16.
Hecht-Nielsen R (1992) Theory of the backpropagation neural network. In: Neural networks for perception. Elsevier, pp 65–93
17.
Hu YC, Perrig A, Johnson DB (2006) Wormhole attacks in wireless networks. IEEE J Sel Areas Commun 24:370–380CrossRef
18.
Shaon MNA, Ferens K (2015) Wireless sensor network wormhole detection using an artificial neural network. In: Proceedings of the international conference on wireless networks (ICWN), the steering committee of the world congress in computer science, computer engineering and applied computing (World-Comp), pp 115–120
19.
Tun Z, Maw AH (2008) Wormhole attack detection in wireless sensor networks. World Acad Sci Eng Technol 46:545–550
20.
Wang W, Bhargava B (2004) Visualization of wormholes in sensor networks. In: Proceedings of 3rd ACM workshop on wireless security (WiSe’04), Philadelphia, USA, October 2004, pp 51–60
Metadata
Title
A Technique to Detect Wormhole Attack in Wireless Sensor Network Using Artificial Neural Network
Authors
Moirangthem Marjit Singh
Nishigandha Dutta
Thounaojam Rupachandra Singh
Utpal Nandi
Copyright Year
2021
Publisher
Springer Singapore
Book
Evolutionary Computing and Mobile Sustainable Networks

Print ISBN: 978-981-15-5257-1

Electronic ISBN: 978-981-15-5258-8

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5258-8_29