Content Based Malicious Url Detection in E-Mail Using Bayesian Classifier And Decision Tree: A Survey

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Category: 
Part4
Author: 
Sunil B. Rathod, PG Student, Department of Computer Engineering, North Maharashtra University SES’s R. C. Patel Institute of Technology, Shirpur, MS, India
Tareek M. Pattewar, Assistant Professor, Department of Information Technology, North Maharashtra University SES’s R. C. Patel Institute of Technology, Shirpur, MS, India
Abstract: 

World Wide Web plays vital role for data communication. Information of various kinds are exchanged using E-mails. Hackers, phishers and malicious attackers are frequently using email services to attempt fraud for financial gain. The links in the emails leads to fake phishing sites are phishing mail which divulges legitimate users to give their personal credential. They use spam mails to obtain personal data of existing user’s by malicious URL’s so it causes cyber crime. Hence it results into stealing personal credentials and broadcast spam, phishing attacks. E-mails with malicious URLs may have genuine content in the body which is unable to be detected. So, A reliable system is needed which classify and detect spam mails and malicious URLs in the content of Email. Therefore an intelligent technique is required to be employed for email classification using Baye's probability distribution and malicious URL detection using postfix analysis which ensures rich collection of email security.

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