Email Fraud Detection

Email Fraud Detection

Amarnath Pathak1,Tejeshwani Bharti2

Email- 2020aspire09@gmail.com  , tejeshwani7@gmail.com

School of Computer Application

Lovely   Professional University

9phagwara, punjab00

Abstract— Email deception detection is the procedure of recognizing and halting dishonest emails that are intended to pilfer individual or economic details or to distribute malicious software. The procedure usually comprises multiple tiers of separation to pinpoint and sift out dubious emails before they get to the receiver's inbox. One of the most prevalent abstractions exploited in email deception detection is the utilization of artificial intelligence algorithms to scrutinize the substance of emails and distinguish configurations that are linked with deceptive emails. These algorithms can be tutored on extensive data collection of recognized deceptive emails to aid them in detecting fresh occurrences of fraudulent emails with a significant level of precision

KEYWORDS - Phishing detection, Machine learning, Data Models, Naive Bayes, Logistic Regression, Support Vector Method, KNN, Random Forest, Data Analysis, Classification, Accuracy, Precision, Recall.