Applied and Computational Engineering
- The Open Access Proceedings Series for Conferences
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
Series Vol. 6 , 14 June 2023
Open
Access | Article
Cyber-security attack prediction using cognitive spectral clustering technique based on simulated annealing search
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Abstract
Data protection and security is a big challenging portion in a modern technical world against the cyber-attacks like; ransomware, man-in-the-middle, DDoS, etc. In order to overcome this scenario, there are lot of artificial intelligence framework have been introduced to detect and classify the cyber-attacks. In particular, neural networks, with their solid speculation execution ability, are capable to address an extensive variety of cyber-attacks. This article frames the training and testing of a neural network group such a way to deal with detection of cyber-attack using cognitive spectral clustering technique based on simulated annealing search method. The optimization of individual networks can be made by using adaptive memetic algorithm with simulated annealing search. It is used to enhance the neural network weights and hidden neurons respectively. This algorithm is a combination of both local and global search enhancement method and used to get rid of the premature convergence, and used to achieve the adaptive search output. The testing outcome of the proposed framework shows a better result 99.5% of overall accuracy, and effectively adaptive in terms of detecting the cyber-attacks.
Keywords
cyber-attack, cognitive spectral clustering, artificial intelligence, simulated annealing search, neural network cluster.
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
- ISBN (Print)
- 978-1-915371-59-1
- ISBN (Online)
- 978-1-915371-60-7
- Published Date
- 14 June 2023
- Series
- Applied and Computational Engineering
- ISSN (Print)
- 2755-2721
- ISSN (Online)
- 2755-273X
- DOI
- 10.54254/2755-2721/6/20230791
- Copyright
- 14 June 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited