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thesis 36 44 Final
 

thesis 36 44 Final

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final thesis presentation slide

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    thesis 36 44 Final thesis 36 44 Final Presentation Transcript

    • 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.
      • Cyber Crime- the major concern.
      • Internet fraud affects the rapidly growing online services.
      • E-commerce is the main target.
      • Social communication sites and mail service are also attack of them.
      • Technical steps needed to defend them.
      • A criminal trick of stealing sensitive personal information.
      • Fooled user and push them to fall in the trick.
      • Use social engineering and technical strategy.
      • Mainly, duplicate original web-pages.
      • First describe in 1987.
      • Phishing attacks succeed if users fail to detect phishing sites.
      • Previous anti-phishing falls into four categories:
        • Study on phishing
        • Training people
        • User interface
        • Detection tools
      • Precious works deals with limited service.
      • Our approach- Development of an automated phishing detection method.
      • Similar appearance of web-page.
      • IP based URL & Non Matching URL.
      • URL contain abnormal characters.
      • Mis-spelled URL.
      • Using script or add-in to web browser to cover the address bar.
      • According to APWG
      • According to PhishTank
      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
      • Social response
        • Educating people.
        • Changing habit.
      • Technical support
        • Identify phishing site.
        • Implementation of secure model.
        • Browser alert.
        • Eliminating phishing mails.
        • Monitoring and Takedown.
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    • Approach Accuracy Time (second) IP based URL 100% 17 Exists in phishing database 97% 59 Matching source content 81% 134 Abnormal condition 79% 51
      • Our approach reduces the ability of attackers to automate their attacks, cutting into their profitability.
      • By using the minimal knowledge base provided by the user-selected web-page, our system is able to compare potential phishing sites with real sites.
      • Performance and accuracy can be improved by using an image segmentation.
      • Flash contents can’t be validated whether phishing threat or not in our system.
    •