Browsing by Author "SRIKANTH, V"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Phishing Website Detection Using Machine Learning
    (2020-09-03T06:26:04Z) JAGADEESH, M; SRIKANTH, V; VINOD, RATHOD
    Phishing attacks target vulnerabilities that exist in systems due to the human factor. Many cyber- attacks are spread via mechanisms that exploit weaknesses found in end-users, which makes users the weakest element in the security chain. The phishing problem is broad and no single silver bullet solution exists to mitigate all the vulnerabilities effectively, thus multiple techniques. Detection of Phishing website is an intelligent and effective model that is based on using classification or association Data Mining algorithms. These Algorithms were used to identify and characterize all rules and factors in order to classify the phishing website and relationship that correlate them with each other so we detect them by their performance, accuracy, number of rules generated and speed. Proposed system implements both algorithms which is Classification that optimizes the system which is more efficient and faster than existing system.