An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems
| Autor: | Pravin R. Kshirsagar, Thanikanti Sudhakar Babu, Hassan Haes Alhelou, K. Sangeetha, Kantipudi Mvv Prasad, S. Shitharth |
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| Rok vydání: | 2021 |
| Předmět: |
rapid probabilistic correlated optimization (RPCO)
Markov chain clustering (MCC) General Computer Science Computer science business.industry General Engineering security TK1-9971 Supervisory control and data acquisition (SCADA) SCADA Embedded system General Materials Science Electrical engineering. Electronics. Nuclear engineering preprocessing block correlated neural network (BCNN) and attack detection business |
| Zdroj: | IEEE Access, Vol 9, Pp 156297-156312 (2021) |
| ISSN: | 2169-3536 |
| Popis: | Providing security to the Supervisory Control and Data Acquisition (SCADA) systems is one of the demanding and crucial tasks in recent days, due to the different types of attacks on the network. For this purpose, there are different types of attack detection and classification methodologies have been developed in the conventional works. But it limits with the issues like high complexity in design, misclassification results, increased error rate, and reduced detection efficiency. In order to solve these issues, this paper aims to develop an advanced machine learning models for improving the SCADA security. This work comprises the stages of preprocessing, clustering, feature selection, and classification. At first, the Markov Chain Clustering (MCC) model is implemented to cluster the network data by normalizing the feature values. Then, the Rapid Probabilistic Correlated Optimization (RPCO) mechanism is employed to select the optimal features by computing the matching score and likelihood of particles. Finally, the Block Correlated Neural Network (BCNN) technique is employed to classify the predicted label, where the relevancy score is computed by using the kernel function with the feature points. During experimentation, there are different performance indicators have been used to validate the results of proposed attack detection mechanisms. Also, the obtained results are compared with the RPCO-BCNN mechanism for proving the superiority of the proposed attack detection system. |
| Databáze: | OpenAIRE |
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