Automated Phishing Detection Method Using Multiple Heuristics
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This document discusses cybercrime and phishing attacks. It presents an automated phishing detection method developed by Md. Merazul Islam and Shuvradeb Barman Srijon from Khulna University of Engineering and Technology. The method uses techniques like checking the IP address, URL, and page content to identify phishing sites within seconds with high accuracy ranging from 79% to 100%. The approach aims to reduce the profitability of phishing attacks by automating detection.
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Automated Phishing Detection Method Using Multiple Heuristics
- 1. Presented by, Md. Merazul Islam (0507036) & Shuvradeb Barman Srijon (0507044) Supervised by, Mr. Muhammad Sheikh Sadi Assistant Professor Department of Computer Science and Engineering Khulna University of Engineering and Technology Khulna 9203, Bangladesh.
- 12. Approach Accuracy Time (second) IP based URL 100% 17 Exists in phishing database 97% 59 Matching source content 81% 134 Abnormal condition 79% 51