Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers

Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers

Authors- Sanjay Varthan T B S, Assistant Professor Dr.Lipsa Nayak

Abstract--Abstract Phishing attacks are a major threat to cybersecurity because they occur when malicious actors impersonate reliable companies in an effort to fool individuals into divulging personal information. This paper presents a phishing detection system designed to identify and prevent phishing attempts in email correspondence. The system uses Python and Django to create the Support Vector Machine (SVM) algorithm, which identifies emails as either legitimate or phishing. The three key components of the system are data preparation, model training, and feature extraction. The findings show that the SVM-based phishing detection system, along with Python and Django, offers a dependable and effective way to spot phishing attempts in emails.

DOI: /10.61463/ijset.vol.13.issue2.386