ML-Based Phishing Website Detection & Prevention System
DOI:
https://doi.org/110.15662/IJEETR.2026.0802010Keywords:
Phishing Detection, Cybersecurity, Machine Learning, URL Analysis, Feature Extraction, Random Forest, Support Vector Machine (SVM), Decision Tree, Website Security, Malicious URL Detection, Fraud Prevention, Network SecurityAbstract
Phishing attack is a simplest way to obtain sensitive information from innocent users. Aim of the phishers is to acquire critical information like username, password and bank account details. Cyber security persons are now looking for trustworthy and steady detection techniques for phishing websites detection. This paper deals with machine learning technology for detection of phishing URLs by extracting and analyzing various features of legitimate and phishing URLs. Decision Tree, random forest and Support vector machine algorithms are used to detect phishing websites. Aim of the paper is to detect phishing URLs as well as narrow down to best machine learning algorithm by comparing accuracy rate, false positive and false negative rate of each algorithm
References
Howe, A. von Mayrhauser, and Mraz, R. T. Test case generation as an AI planning problem. Automated Software Engineering, 4:77-106, 1997.
2. Koehler, J., Nebel, B., Hoffman, J., and Dimopoulos, Y. Extending planning graphs to an ADL subset. Lecture Notes in Computer Science, 1348:273, 1997.
3. Treutner, M. F., and Ostermann, H. Evolution of Standard Web Shop Software Systems: A Review and Analysis of Literature and Market Surveys.
4. CS-Cart.com (Simbirsk Technologies Ltd), © 2004-2013.http://www.cs-cart.com/
5.Ofbiz, the Apache Open for Business Project. Retrieved on 2013."http://ofbiz.apache.org/index.html"
6.Comparison of shopping cart software. Retrieved on June 28, 2013. http://en.wikipedia.org/wiki/Comparison_of_shopping_cart_software
7.Demonstrating how the web server Operates using PHP5/24/2018
8.All about frontend controls in php http://www.msdn.microsoft.com/
9.Wikipedia for various diagrams & testing methods http://www.wikipedia.org/
10.Cool text for Images and Buttons http://cooltext.com/
11.K-State Research Exchange for samples in report writing http://krex.k-state.edu/dspace/handle/2097/959
12. Smart Draw for drawing all the Diagrams used in this report. http://www.smartdraw.com/
13. Sample Ecommerce Application http://www.NewEgg.com
14. Ajax Toolkit controls http://asp.net/ajax
