Skip to main content

A Robust Defense Mechanism to Prevent Phishing Attack Using Parse Tree Validation

  • Conference paper
Advanced Computing, Networking and Security (ADCONS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7135))

  • 2856 Accesses

Abstract

In modern era, Web-based applications and services have changed the landscape of information delivery and exchange in today’s corporate, government and educational arenas. An increase in the usage of web applications is directly related to the number of security threats for them. The threats leveraged through vulnerabilities, that leads to creating an attack in web applications and it will be create severe damage in online transactions. Among the various types of the website attack, phishing attack is the most common and well-known type in web application. Phishing is a cyber crime activity performed to acquire user’s sensitive information such as passwords and credit card, social security, and bank account details by masquerading as a trustworthy entity in an electronic communication. This kind of threat is famous in online payment web sites, online auction and online backing web sites. In this paper we have proposed a novel approach to detect the phishing web sites by passing the user requested website address to the Google Application Programming Interface (API) to intercepting most relevance URLs (Uniform Resource Locater). The intercepted URLs are used to constructing a parse tree with the root node of requested URL. The constructed parse tree will be employed to validate the requested web site address. Identification of the phishing web site is implemented through independent web services. Our approach in a web application is independent module and it doesn’t demand any change in application.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anti phishing working group (APWG): Global Phishing Survey- Trends and Domain Name Use in 1H2009. International Journal (2010)

    Google Scholar 

  2. Bargadiya, M., Chaudhari, V.: Anti-Phishing Design Using Mutual Authentication Approach. PG Research Group, IT-Department, RGPV Technocrats Institute of Technology (TIT), Bhopal (M.P.) INDIA (2010)

    Google Scholar 

  3. Xiang, G., Hong, J.I.: A Hybrid Phish Detection Approach by Identity Discovery and Keywords Retrieval. In: Proceedings of the 18th International Conference on World Wide Web (2009)

    Google Scholar 

  4. Xiang, G., Hong, J., Cranor, L., Rose, C.P.: Cantina+ A Feature-rich Machine Learning Framework for Detecting Phishing Web Sites. ACM Transactions on Information and System Security (TISSEC) 14(2) (2011)

    Google Scholar 

  5. Yearwood, J.: Profiling Phishing Emails Based on Hyperlink Information. Graduate School of ITMS, University of Ballarat, Vic, Australia (2010)

    Google Scholar 

  6. Fu, Y., Wenyin, L., Deng, X.: EMD based Visual Similarity for Detection of Phishing Webpages. Dept. of Computer Science, City University of Hong Kong (2006)

    Google Scholar 

  7. Wardman, B., Skukla, G., Warner, G.: Identifying Vulnerable Websites by Analysis of Common Strings in Phishing URLs. Computer Forensics Lab University of Alabama at Birmingham (2009)

    Google Scholar 

  8. Chen, J., Guo, C.: Online Detection and Prevention of Phishing Attacks. Institute of Communications Engineering, Nanjing (2006)

    Google Scholar 

  9. APWG: Issues in Using DNS Who is Data for Phishing Site Take Down (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shanmughaneethi, V., Abraham, R., Swamynathan, S. (2012). A Robust Defense Mechanism to Prevent Phishing Attack Using Parse Tree Validation. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29280-4_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29279-8

  • Online ISBN: 978-3-642-29280-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics