my undergraduate thesis presentation slide of phishing

1. TOWARDS DETECTING PHISHING WEB-PAGES 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.

2. Introduction Cyber Crime- the major concern. Internet frauds affect the rapidly growing online services. E-commerce is the main target. Social communication sites and mail services are also victim of them. Phishing is an alarming threat. Technical steps needed to defend them. 2

3. Problem Statement 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 Previous works deals with limited service. Our approach- Development of an automated phishing detection method. 3

4. Phishing? 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. 4

5. Attributes of Phishing Similar appearance of web-page. IP based URL & Non Matching URL. URL contain abnormal characters. Misspelled URL. Using script or add-in to web browser to cover the address bar. 5

6. Phishing Stats According to APWG According to PhishTank Total phishing attack. (Up to 6th April 2010) 6

7. Anti-phishing Social response Educating people. Changing habit. Technical support Identify phishing site. Implementation of secure model. Browser alert. Eliminating phishing mails. Monitoring and Takedown. 7

8. Methodology 8 ? ? Step 1: Checking with database

9. Methodology 9 ? ? ? Step 2: Checking abnormal conditions

10. Methodology 10 ? ? ? ? ? Step 2: Search for new Phishing

11. results 11

12. Experimental analysis 12

13. Discussion 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 algorithm. Flash contents can’t be validated whether phishing threat or not in our system. 13

14. References Anti-Phishing Working Group (APWG). http://www.antiphishing.org/ . April 7 2010. PhishTank. http://www.phishtank.com/. April 6 2010. Y. Zhang, J. Hong, and L. Cranor. Cantina: A content-based approach to detecting phishing web sites. 16th international conference on World Wide Web in 2007. Felix, Jerry and Hauck, Chris (September 1987). "System Security: A Hacker's Perspective". 1987 Interex Proceedings1: 6. 14

15. Thank You ? 15