2026-04-15T03:45:33Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4427 2022-03-24T23:16:16Z 1582963302567:1597824273898 user-ucsy

Deep Neural Network Based Model for Phishing-Sites Detection Zaw, San Kyaw Oo, Khine Khine 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. 2016-02-25 http://hdl.handle.net/20.500.12678/0000004427 https://meral.edu.mm/records/4427