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S. Giriprasad, Harihara Gopalan Suryanarayanan, P. Elamurugan, R. Dhanapal, S. Arunkumar, A. Manikandan
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10.6028/nist.sp.800-150
10.6028/nist.sp.800-150
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Convolution neural network-based efficient development of ıntrusion detection using various deep learning approaches
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A roadmap for SMEs to adopt an AI based cyber threat intelligence
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The random forest algorithm for statistical learning
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Artificial neural network-based efficient cyber hacking detection system using deep learning approaches
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Gutierrez J.A.Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
10.3390/s23052415 · 2023
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Unresolved referenced work
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Detecting and preventing DoS attacks within IoT environment using AWS IoT Core
2024
10.1109/icsc60084.2023.10349994
10.1109/icsc60084.2023.10349994
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Incorporation of blockchain technology for different smart grid applications: architecture prospects and challenges
10.3390/en16020820 · 2023
Incorporation of blockchain technology for different smart grid applications: architecture prospects and challenges
10.3390/en16020820 · doi-reference
10.1109/icsc60084.2023.10349994
10.1109/icsc60084.2023.10349994 · doi-reference
Gutierrez J.A.Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
10.3390/s23052415 · doi-reference
The random forest algorithm for statistical learning
10.1177/1536867x20909688 · doi-reference
10.6028/nist.sp.800-150
10.6028/nist.sp.800-150 · doi-reference