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Machine Learning-based Detection of Spear Phishing Emails
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 24 |
| Year of Publication: 2025 |
| Authors: Md. Siam Ansary |
10.5120/ijca2025925421
|
Md. Siam Ansary . Machine Learning-based Detection of Spear Phishing Emails. International Journal of Computer Applications. 187, 24 ( Jul 2025), 15-20. DOI=10.5120/ijca2025925421
Abstract
Phishing attacks are a serious risk to people, companies, and even whole systems. Therefore, it is critical to identify phishing emails. By identifying such emails, people may be shielded from identity theft and financial crime by preventing unwanted access to private information. In addition, it can aid in preventing monetary losses, misappropriation of private and business identities, preservation of credibility and trust, and compromise of networks and systems. Phishing threat detection and mitigation add to general cyber security awareness. It is essential to maintaining the privacy of sensitive information. In this study, we have observed how efficiently machine learning (ML) models can identify phishing emails. From evaluation of the models, it has been ascertained that the ML models can classify the spam emails very proficiently.
References
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