Phishing Detection Based on CSS Features of Web Pages
Keywords:
Phishing Attack, CSS features, Web SecurityAbstract
Since last decades, online technologies have revolutionized the modern computing world. However, as a result, security threats are increasing rapidly. A huge community is using the online services even from chatting to banking is done via online transactions. Customers of web technologies face various security threats and phishing is one of the most important threats that need to be address. Therefore, the security mechanism must be enhanced. The attacker uses phishing attack to get victims credential information like bank account number, passwords or any other information by mimicking a website of an enterprise, and the victim is unaware of phishing website.
References
- “Bait Alarm: Detecting Phishing Sites Using Similarity in Fundamental Visual Features” by Jian Mao, Pei Li, Kun Li, Tao Wei, and Zhenkai Liang in 2013 IEEE 5th international conference on intelligent networking and collaborative systems
- “Utilisation of website logo for phishing detection” Kang Leng Chiew, Ee Hung Chang, San Nah Sze,Wei King Tiong in 2015 Elsevier
- “Visual Similarity based Anti-Phishing with the combination of Local and Global Features” by the Yu Zhou, Yongzheng Zhang, Jun Xiao, Yipeng Wang, Weiyao Lin in 2014 IEEE 13th international Conference on Trust, Security and Privacy in Computing and Communication
- “Use of HOG Descriptors in Phishing detection” by ahmet Selmen Bozkir and Ebru akcapinar Sezer in year 2016, 4th international symposium on digital forensics and security (ISDFS’16)
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- “B – APT : Bayesian anti – phishing Toolbar” by Peter Likarish and Eunjin (EJ) Jung, Don Dunbar, Thomas E. Hansen and Juan Pablo Hourcade
- Phishing [online] available: https://en.wikipedia.org/wiki/Phishing
- Phishing attacks [online] available: https://digitalguardian.com/blog/what-phishing-attack-defining-and-identifying-different-types-phishing-attacks
- Phishing attacks [online] available: https://www.pcworld.com/article/135293/article.html
- Safe browsing [online] available: https://developers.google.com/safe-browsing/
- Anti phishing tool [online] available: https://www.microsoft.com/enus/research/publication/itrustpage-a-user-assisted-anti-phishing-tool
- Chrome Extension Guide [online] available: https://developer.chrome.com/extensions
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