Machine Learning Algorithms for Real-Time Phishing Detection in Enterprise Email Networks
DOI:
https://doi.org/10.70088/5pkbcj98Keywords:
Phishing Detection, Machine Learning, Enterprise Security, Real-Time Detection, Email NetworksAbstract
Phishing attacks rest a important scourge to enterprise email networks, necessitating robust material-time detection mechanisms. Focalise on their efficaciousness, scalability. And adaptability in dynamic enterprise environments, this research research the lotion of machine learning algorithms for phishing catching. The field course value multiple algorithm, admit and learning models, thereby and advise a new attack combining feature extraction, anomaly detection, and categorisation. Consequence predictably march that the propose method achieves gamy detection accuracy and low -confident rate, surpass traditional rule-ground scheme. The finding emphasise the grandness of integrating machine learning with enterprise security frameworks to extenuate phishing risks.References
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Copyright (c) 2025 Mengyao Chen (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
