Research graph
References from Machine learning-enhanced threat intelligence for advanced cybersecurity. Local targets link to admitted publications; unresolved targets remain external evidence.
10.6028/nist.sp.800-150
10.6028/nist.sp.800-150 · External reference
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Convolution neural network-based efficient development of ıntrusion detection using various deep learning approaches
2024 · External reference
A roadmap for SMEs to adopt an AI based cyber threat intelligence
2023 · External reference
Unresolved reference
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The random forest algorithm for statistical learning
10.1177/1536867x20909688 · 2024 · External reference
Artificial neural network-based efficient cyber hacking detection system using deep learning approaches
2024 · External reference
Gutierrez J.A.Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
10.3390/s23052415 · 2023 · External reference
Unresolved reference
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Unresolved reference
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Detecting and preventing DoS attacks within IoT environment using AWS IoT Core
2024 · External reference
10.1109/icsc60084.2023.10349994
10.1109/icsc60084.2023.10349994 · External reference
Unresolved reference
External reference
Incorporation of blockchain technology for different smart grid applications: architecture prospects and challenges
10.3390/en16020820 · 2023 · External reference
10.1109/icsc60084.2023.10349994
10.1109/icsc60084.2023.10349994 · ExternalCitation · doi-reference
The random forest algorithm for statistical learning
10.1177/1536867x20909688 · ExternalCitation · doi-reference
Incorporation of blockchain technology for different smart grid applications: architecture prospects and challenges
10.3390/en16020820 · ExternalCitation · doi-reference
Gutierrez J.A.Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
10.3390/s23052415 · ExternalCitation · doi-reference
10.6028/nist.sp.800-150
10.6028/nist.sp.800-150 · ExternalCitation · doi-reference
