A performance analysis of Software Defined Network based prevention on phishing attack in cyberspace using a deep machine learning with CANTINA approach (DMLCA)-Reference-Cited by-同舟云学术

A performance analysis of Software Defined Network based prevention on phishing attack in cyberspace using a deep machine learning with CANTINA approach (DMLCA)

Published:2020-03 Issue: Volume:153 Page:375-381
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

S. Edwin Raja,Ravi R.

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference21 articles.

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2. Emergent Challenges and IPDS for Anti-Phishing Attack;Bing,2014

3. PhiGARo: Automatic Phishing Detection and Incident Response Framework;Husak,2014

4. An Empirical Investigation of the Effect of Target Related Information in Phishing Attacks;Flores,2014

5. A Hybrid Model to Detect Phishing-Sites using Clustering and Bayesian Approach;Patil,2014

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