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Elimination of Data Modification in Sensor Nodes of WSN Using Deep Learning Model


Affiliations
1 Department of Information Technology, Karpagam Institute of Technology, India
2 Department of Computer Science & Engineering, SNS College of Technology, India
3 Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, India
     

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This study focuses on removing the possibility of malicious data manipulation in wireless sensor networks (WSN) by utilising a deep learning method. When training deep neural networks, datasets that have been the subject of an attack that alters the data are used as the building blocks. This is done in preparation for putting the networks to the test in the real world. We find out through simulation with a 70:30 cross-validation across a 10-fold sample size that the proposed technique is superior to the current state of the art in terms of the packet delivery rate, latency and throughput.

Keywords

Deep Learning Model, Data Modification, WSN, Throughput
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Abstract Views: 177

PDF Views: 1




  • Elimination of Data Modification in Sensor Nodes of WSN Using Deep Learning Model

Abstract Views: 177  |  PDF Views: 1

Authors

B. Chellapraba
Department of Information Technology, Karpagam Institute of Technology, India
M.S. Kavitha
Department of Computer Science & Engineering, SNS College of Technology, India
K. Periyakaruppan
Department of Computer Science & Engineering, SNS College of Technology, India
D. Manohari
Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, India

Abstract


This study focuses on removing the possibility of malicious data manipulation in wireless sensor networks (WSN) by utilising a deep learning method. When training deep neural networks, datasets that have been the subject of an attack that alters the data are used as the building blocks. This is done in preparation for putting the networks to the test in the real world. We find out through simulation with a 70:30 cross-validation across a 10-fold sample size that the proposed technique is superior to the current state of the art in terms of the packet delivery rate, latency and throughput.

Keywords


Deep Learning Model, Data Modification, WSN, Throughput

References