A Jamming Attacks Detection Approach Based on CNN based Quantum Leap Method for Wireless Sensor Network

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Published: May 5, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i4s.6534
Keywords:
CNN based Quantum leap, wireless sensor networks, Z-score Normalization technique, Fisher’s Score

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M. Sahaya Sheela
Assistant Professor ,Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, Tamil Nadu-600062
M. Balasubramani
Assistant Professor Senior Grade 2,School of Information Technology and Engineering, Vellore Institute of Technology-Vellore Tamil Nadu 632014
J. J. Jayakanth
Assistant Professor,Department of Computational Intelligence, SRM Institute of Science & Technology, Kattankulathur, Chennai, India – 603203
R. Rajalakshmi
Assistant professor Grade-1, Department of Electronics and Communication, Engineering, Panimalar Engineering college, Poonamallee, Chennai, Tamil Nadu, 600123, India
K. Manivannan
Professor , School of Computer Science and Engineering Faculty of Engineering and Technology, JAIN (Deemed-to-be) University Bengaluru, Karnataka, India – 562112
D. Suresh
Professor,Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul-624622, Tamil Nadu, India

Abstract

The wireless sensor network is the most significant largest communication device. WSN has been interfacing with various wireless applications. Because the wireless application needs faster communication and less interruption, the main problem of jamming attacks on wireless networks is that jamming attack detection using various machine learning methods has been used. The reasons for jamming detection may be user behaviour-based and network traffic and energy consumption. The previous machine learning system could not present the jamming attack detection accuracy because the feature selection model of Chi-Squared didn’t perform well for jamming attack detections which determined takes a large dataset to be classified to find the high accuracy for jamming attack detection. To resolve this problem, propose a CNN-based quantum leap method that detects high accuracy for jamming attack detections the WSN-DS dataset collected by the Kaggle repository. Pre-processing using the Z-score Normalization technique will be applied, performing data deviations and assessments from the dataset, and collecting data and checking or evaluating data. Fisher’s Score is used to select the optimal feature of a jamming attack. Finally, the proposed CNN-based quantum leap is used to classify the jamming attacks. The CNN-based quantum leap simulation shows the output for jamming attacks with high precision, high detection, and low false alarm detection.

Article Details

How to Cite
Sheela, M. S. ., Balasubramani, M. ., Jayakanth, J. J. ., Rajalakshmi, R. ., Manivannan, K. ., & Suresh, D. . (2023). A Jamming Attacks Detection Approach Based on CNN based Quantum Leap Method for Wireless Sensor Network. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4s), 242–249. https://doi.org/10.17762/ijritcc.v11i4s.6534
Issue
Vol. 11 No. 4s (2023)
Section
Articles

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