Deep Neural Network Based Model for Phishing-Sites Detection

Zaw, San Kyaw; Oo, Khine Khine

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- Technological University, Hmawbi
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- Technological University Mandalay
- University of Computer Studies, Mandalay
- University of Computer Studies Maubin
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- University of Computer Studies Pathein
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- University of Dental Medicine Mandalay
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Deep Neural Network Based Model for Phishing-Sites Detection

http://hdl.handle.net/20.500.12678/0000004427

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Publication type
		Article
Upload type
		Publication
Title
	Title	Deep Neural Network Based Model for Phishing-Sites Detection
	Language	en_US
Publication date		2016-02-25
Authors
		Zaw, San Kyaw
		Oo, Khine Khine
Description
		The evolution of web has positivelytransformed the paradigm of communication,trading, and collaboration for the benefit ofhumanity. However, these benefits of the Web areshadowed by cyber-criminals who use the Web as amedium to perform malicious activities motivated byillegitimate benefits. Phishing is a growing threat toInternet users and causes billions of dollars indamage every year. The replicas of the legitimatesites are created and users are directed to that website by luring some offers to it. In this paper weintroduce a model of our ongoing research PhishingWebsite Detection for Advanced Persistent Threats.In this model we used deep neural network techniqueon some features of phishing sites.
Keywords
		Phishing, URL Feature, HTML Feature, Model, Social Engineering, Security, Anti Phishing Technique, Data Mining, ANN, DNN and Phishing Attack
Identifier		http://onlineresource.ucsy.edu.mm/handle/123456789/2360
Journal articles
		Fourteenth International Conference On Computer Applications (ICCA 2016)
Conference papers
Books/reports/chapters
Thesis/dissertations