SECURING DATA WITH BLOCK CHAIN AND MACHINE LEARNING

Abstract

The aim of the phishers is to acquire critical information like username, password, and bank account
details. Cyber security people are now looking for trustworthy and steady detection techniques for phishing
websites detection and securing user’s data. This project deals with machine learning technology for detection of
phishing URLs by extracting and analyzing various phishing URLs. The aim of the project is to detect phishing
URLs as well as using light GBM and SVM algorithm. This project goal is to detect and present the phishing
website and its phishing percentage in visual format and the technology and tool used are Block Chain, Machine
Learning (SVM & LIGHTGBM), Artificial intelligence, Html and data visualization techniques