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