Integrating Multiple Parameters to Improve Spam and Phishing Email Filtering


Authors : Shreyans Jain, Ekansh Dubey, Rachna Jain.

Volume/Issue : Volume 3 - 2018, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/uvm8CM

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Abstract : Phishing remains a major security threat in cyber security. In phishing, attackers steal sensitive information such as login credentials, credit card numbers from victims by providing a fake site which looks like the visual clone of a legitimate site. It can be said that single filter method is not sufficient to detect different categories of phishing emails. This paper provides a model combining various filtering methods to detect phishing. The model incorporates five layers: Block list layer, white list layer, Spam filtering layer, URL features layer, hashing layer. A prototype implementation of the proposed model is built to improve spam and phishing Email filtering over the existing techniques.

Keywords : Spam, Phishing, Email Filtering, Layered Filtering, Malicious Email.

Phishing remains a major security threat in cyber security. In phishing, attackers steal sensitive information such as login credentials, credit card numbers from victims by providing a fake site which looks like the visual clone of a legitimate site. It can be said that single filter method is not sufficient to detect different categories of phishing emails. This paper provides a model combining various filtering methods to detect phishing. The model incorporates five layers: Block list layer, white list layer, Spam filtering layer, URL features layer, hashing layer. A prototype implementation of the proposed model is built to improve spam and phishing Email filtering over the existing techniques.

Keywords : Spam, Phishing, Email Filtering, Layered Filtering, Malicious Email.

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