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International Journal
of Computer Engineering in Research Trends (IJCERT)
Scholarly, Peer-Reviewed, Open Access and Multidisciplinary
International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary
ISSN(Online):2349-7084 Submit Paper Check Paper Status Conference Proposal
[1] Joby James, Sandhya L, Ciza Thomas: Detection of Phishing URLs Using Machine Learning Techniques. In Proc. Of 2013 International Conference on Control Communication and Computing (ICCC). [2] J. Ma, L. K. Saul, S. Savage and G. M. Voelker,†Beyond Blacklists: Learning to Detect Phishing Web Sites from Suspicious URLsâ€, Proc.of SIGKDD '09 [3] J. Ma, L. K. Saul, S. Savage, and G. M. Voelker,†Learning to Detect Phishing URLsâ€, ACM Transactions on intelligent Systems and Technology, Vol. 2, No.3, Article 30, Publication date: April 2011. [4] Garera S., Provos N., Chew M., Rubin A. D., “A Framework for Detection and measurement of phishing attacksâ€, In Proceedings of the ACM Workshop on Rapid Malloced (WORM), Alexandria, VA. [5] D. K. McGrath, M. Gupta, “Behind Phishing: An Examination of Phisher Modi Operandiâ€, In Proceedings of the USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET). [6] C. Whittaker, B. Ryner, and M. Nazif. Large-scale automatic classification of phishing pages. In Proc. Of the 17th Annual Network and Distributed System Security Symposium (NDSS’10), California, USA, February 2010. [7] Phistank. https://www.phishtank.com [8] Curlie. https://curlie.org [9] I. Rogers “Google Page Rank – Whitepaper†[10] Shraddha Parekh, Dhwanil Parikh, Srusti Kotak, Prof Smita Sankhe, A New Method for Detection of Phishing Websites: URL Detection “. In Proc Of 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) [11] Ram B. Basnet and Andrew H. Sung, “Learning to Detect Phishing Webpagesâ€, In proceedings of Journal of Internet Services and Information Security. [12] Mohammad Fazli Baharuddin, Tengku Adil Tengku Izhar, Mohd Shamsul Mohd Shoid “Malicious Url Classification System Using Multi-Layer Perceptron Techniqueâ€, In proceedings of the Journal of Theoretical and Applied Information Technology.
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