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Studying Email Filtering Approach to Identify Spear Phishing Attacks
http://hdl.handle.net/20.500.12678/0000004679
http://hdl.handle.net/20.500.12678/0000004679b1bf7216-a2ef-42d9-a8bb-f90ecf223a0c
ff024d65-5563-4363-b04a-17ee46ecfc06
Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Studying Email Filtering Approach to Identify Spear Phishing Attacks | |||||
Language | en | |||||
Publication date | 2016-02-25 | |||||
Authors | ||||||
Mon, Ei Ei | ||||||
Kham, Nang Saing Moon | ||||||
Description | ||||||
Electronic mail is used daily by millions of people tocommunicate around the world and it is a criticalapplication for many businesses. Because of the fame ofemails, the attackers utilize it to gather the sensitivedata. Beyond spam and phishing email designed to trickusers into revealing personal information, spearphishing email exploits computer network and gathersensitive information from targeted network. Nowadays,detecting and filtering are still the most feasible waysfor email security. This paper categorizes existing emailfiltering techniques and then proposes a filteringapproach for spear phishing email based on SupportVector Machine (SVM) Classifier. The proposed systemwill use features from different literature andcombination of these features together forms a featureset to identify spear phishing attacks. | ||||||
Keywords | ||||||
Spear Phishing, Advanced Persistent Threat (APT), Support Vector Machine (SVM), Features Selection(FS) | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/340 | |||||
Journal articles | ||||||
Fourteenth International Conference On Computer Applications (ICCA 2016) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |