A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.

Bharath N; Ms. Barnali Chakaraborthy

A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.

July 2023

Vol-9, Issue-4

Paper ID: 21242

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Applications

Keywords

Cyber-physical System " "Cybersecurity " "Deep Learning " "Detection of Intrusions " and "Pattern Grouping".

Abstract

The detection of cyber-attacks on physical systems is a pressing issue in the current cyber landscape. To address this, machine learning techniques have been developed. Deep learning has been found to be more effective than traditional machine learning, however, its implementation in the field of Consumer Protection Systems (CPS) cybersecurity is slower than in other areas. A number of recent papers have proposed deep learning models to detect cyber-attacks on Consumer Protection Systems (CPS). This is due to the complexity of the overlap between cybersecurity and CPSs, making it difficult to accurately identify cyberattacks. To address this issue, a dataset was used from the University of South Wales-NB15 and Logistic regression and Linearized Stemweight Modeling (LSTM) algorithms were implemented. The results of the experiment demonstrate the accuracy of the two algorithms. The index terms utilized in the scope of the study are: "Cyber-physical System," "Cybersecurity," "Deep Learning," "Detection of Intrusions," and "Pattern Grouping".

License

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Author Information

#	Name	Institute / Affiliation
1	Bharath N	AMC Engineering College
2	Ms. Barnali Chakaraborthy	AMC Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style

N, Bharath & Chakaraborthy, Ms. Barnali (2023). A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 1326-1330.

MLA Style

N, Bharath, and Ms. Barnali Chakaraborthy. "A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 1326-1330.

IEEE Style

Bharath N and Ms. Barnali Chakaraborthy, "A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 1326-1330, 2023.

Vancouver Style

N Bharath, Chakaraborthy Ms. Barnali. A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):1326-1330.

Harvard Style

N, Bharath & Chakaraborthy, Ms. Barnali (2023) 'A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 1326-1330.

Chicago Style

N, Bharath and Ms. Barnali Chakaraborthy. "A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1326-1330.

Turabian Style

N, Bharath and Ms. Barnali Chakaraborthy. "A survey on Cyber-Physical System Cybersecurity: Deep Learning-Based Attack Detection.." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1326-1330.