iosr-JECE   Volume-21 ~ Issue-3 ~ May - Jun. 2026

Abstract: The fast rise in the number of network-based cyberattacks has boosted the need to improve network resilience as a key area of research concern in contemporary systems of communication. This paper offers a machine learning-based solution to enhance a network resilience via the threat detection and prevention strategies via the Support Vector Machine (SVM) algorithm. The proposed model was trained and tested on the UNSW-NB15 dataset that includes real-....

Keywords: Network Resilience; Intrusion Detection; Threat Prevention; Support Vector Machine (SVM); Machine Learning

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