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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.

Technologie
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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.
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[object Object],[object Object],Total phishing attack. (Up to 6 th April 2010) Phishes Verified as Valid Suspected Phishes Submitted Total 531086 Total 928206 Online 2770 Online 3021 Offline 528316 Offline 925174
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
 
Approach Accuracy Time (second) IP based URL 100% 17 Exists in phishing database 97% 59 Matching source content 81% 134 Abnormal condition 79% 51
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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.
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  • 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
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