Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...
Obsessing over model version matters less than workflow.
Abstract: In this paper, we have designed and implemented a solution for the detection of cyber threats using supervised machine learning (ML). An effective software program was adapted and refined in ...
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