Fight Against Phishing: A Data Mining Technique

Research Article
Rahul Patel and Ananad Rajavat
DOI: 
http://dx.doi.org/10.24327/ijrsr.2019.1005.3483
Subject: 
science
KeyWords: 
phishing attack, malicious URL classification, association rule mining, rule based classification, ARM algorithm, outlier removal.
Abstract: 

The internet and applications are growing in a rapid rate. Additionally a number of new users are involving to consume services offered by the internet. On the other hand the cases of online fraud and phishing are also growing continuously. In this paper the cyber security and phishing is the key area of investigation and system design, more specifically the phishing attack. The phishing attack is deployed to target an innocent user. By which the target user can lose their financial status or social credibility. The phishing attacker still the user’s private, sensitive and confidential data and using this attacker harm the target person. Therefore this paper is providing the study about phishing attack additionally the recently developed techniques that are useful for detection and prevention of the phishing attack. Finally we propose a data mining based technique that is used to identify the phishing attack.