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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Umesh Balami

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Review Open access Oct 2026

Review on Malware Detection and Classification Using Machine Learning and Deep Learning Techniques

Malicious software (malware) is increasing at an alarming rate, and modern malware routinely uses obfuscation techniques to evade detection, making reliable identification an open problem in cybersecurity. Signature- and heuristic-based approaches remain fast and effective against known malware but fail against unknown...

Umesh Balami, Bhoj Raj Ghimire · 0 citations
Open access Aug 2026

Machine Learning-Based Malware Detection: A Comparative Study of Random Forest, Decision Tree, KNN, and Linear SVM

Random Forest achieves the highest performance with a test accuracy of 96.3%, F1-score of 0.947, and AUC of 0.993, establishing it as the optimal algorithm for static malware detection tasks and establishing it as the optimal algorithm for static malware detection tasks.

Umesh Balami, Ganesh Gautam, Gajendra Sharma · 0 citations

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