Abstract
Currently, web attacks are so popular attacks under cyber crime category. Generally phishing attacks, SSL attacks and some other hacking attacks are kept into this category. Security against these attacks is the major issue of internet security.
This paper presents an new approach of parsing operation analysis of web URLs to provide the security against web attacks. This methodology is based on various parsing operations which use many techniques to detect the phishing attacks as well as other web attacks. This approach is completely based on the browser operation and also affects the speed of browsing. This approach also includes some DB-generated query operation, detection operation of the URL details and etc. Using proposed methodology, a new browser easily detects the phishing attacks, SSL attacks, and some other hacking attacks. With the use of this browser approach, we can easily achieve 98.14% security against phishing as well as web attacks.
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References
Ollmann, G.: The Phishing Guide Understanding & Preventing Phishing Attacks, NGS Software Insight Security Research
Aburrous, M., Hossain, M.A., Dahal, K., Thabatah, F.: Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining. In: 2009 International Conference on CyberWorlds, CW, pp. 265–272 (2009)
Abu-Nimeh, S., Nair, S.: Bypassing Security Toolbars and Phishing Filters via DNS Poisoning. In: Global Telecommunications Conference, IEEE GLOBECOM 2008, November 30-December 4, pp. 1–6. IEEE (2008)
Yu, W.D., Nargundkar, S., Tiruthani, N.: A phishing vulnerability analysis of web based systems. In: IEEE Symposium on Computers and Communications, ISCC 2008, July 6-9, pp. 326–331 (2008)
Alnajim, A., Munro, M.: An Anti-Phishing Approach that Uses Training Intervention for Phishing Websites Detection. In: Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations (ITNG 2009), pp. 405–410. IEEE Computer Society, Washington, DC (2009), http://dx.doi.org/10.1109/ITNG.2009.109
Chen, J., Guo, C.: Online Detection and Prevention of Phishing Attacks. In: Proc. Chinacom 2006 (2006)
Beginning PHP5, Apache, and MySQL Web Development by Elizabeth Naramore, Jason Gerner, Yann Le Scouarnec, Jeremy Stolz, Michael K. Glass ISBN: 9780764579660
Sophos White Paper, Phishing and the threat to corporate networks (2005)
PHP, AJAX, MySql and JavaScript Tutorials, http://www.w3schools.com/
Prentice Hall - Deitel - Java How to Program, 4th edn., Java_2_Complete_Reference_5E, Java - How To Program, 6th edn.
von Ahn, L., Blum, M., Hopper, N.J., Langford, J.: CAPTCHA: Using Hard AI Problems for Security. In: Biham, E. (ed.) EUROCRYPT 2003. LNCS, vol. 2656, pp. 294–311. Springer, Heidelberg (2003)
Gedam, D.N.: RSA Based Confidentiality And Integrity Enhancements in SCOSTA-CL, A Thesis report, Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India (July 2009)
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Tak, G.K., Tapaswi, S. (2012). Parsing Operations Based Approach towards Phishing Attacks. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_45
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DOI: https://doi.org/10.1007/978-3-642-27872-3_45
Publisher Name: Springer, Berlin, Heidelberg
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