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Cyber Physical System for Distributed Network Using DoS Based Hierarchical Bayesian Network

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Abstract

The Cyber Physical System (CPS) is a prime target for cyber attacks due to its heterogeneity and connectivity with physical equipment. This paper proposes a model based on a Hierarchical Bayesian Network (HBN) to increase the CPS’s attack detection ability. Denial of Service (DoS) attacks pose a significant threat to production line availability, business services, and human lives. Therefore, this paper focuses on detecting DoS attacks using the Bayesian network model, an efficient algorithm to detect faults in the networking system based on incomplete recognizing information. The standard Bayesian network model is hierarchically enhanced and optimized with a Bacterial Foraging Optimization (BFO) approach to improve the detection process. The developed, optimized model satisfies security, Quality of Service (QoS) requirements, and time consumption by reducing the constraints to obtain system reliability. The efficiency of the proposed model is evaluated using the NSL-KDD dataset and compared with existing approaches in terms of accuracy, precision, recall, F1-score, ROC, and RMSE. Compared to other existing systems, the proposed model achieves an accuracy of 98.4% in detecting DoS attacks with a reduced RMSE of 0.0617.

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Data Availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

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Author information

Authors and Affiliations

  1. Hunan International Economics University, Changsha City, 410205, Hunan Province, China

    Xiang Ma

  2. Department of Computer Engineering, College of Computer and Information Sciences, Majmaah University, 11952, Al-Majmaah, Saudi Arabia

    Laila Almutairi

  3. Department of Computer Science, College of Computers and Information Technology, University of Tabuk, Tabuk, 47713, Saudi Arabia

    Ahmed M. Alwakeel

  4. College of Computer Science and Information Technology, Jazan University, Jazan, Kingdom of Saudi Arabia

    Mohammed Hameed Alhameed

Authors
  1. Xiang Ma
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  2. Laila Almutairi
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  3. Ahmed M. Alwakeel
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  4. Mohammed Hameed Alhameed
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Contributions

Xiang Ma: Conceptualization, Methodology, Formal analysis, Supervision, Writing - original draft, Writing - review & editing.

Laila Almutairi: Writing - original draft, Writing - review & editing.

Ahmed M. Alwakeel: Investigation, Data Curation, Validation, Resources, Writing - review & editing.

Mohammed Hameed Alhameed: Project administration, Investigation, Writing - review & editing.

Corresponding author

Correspondence to Xiang Ma.

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Ma, X., Almutairi, L., Alwakeel, A.M. et al. Cyber Physical System for Distributed Network Using DoS Based Hierarchical Bayesian Network. J Grid Computing 21, 27 (2023). https://doi.org/10.1007/s10723-023-09662-1

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