An Efficient Machine Learning based Algorithm for Preventing Phishing Websites

International Journal of Computer Science and Engineering
© 2018 by SSRG - IJCSE Journal
Volume 5 Issue 12
Year of Publication : 2018
Authors : Peravali Kavya

How to Cite?

Peravali Kavya, "An Efficient Machine Learning based Algorithm for Preventing Phishing Websites," SSRG International Journal of Computer Science and Engineering , vol. 5,  no. 12, pp. 10-13, 2018. Crossref,


Now a day’s Internet technology is growing more pervasive for online technologies. By considering we cannot control the security of the application. Because of this, we can face security threats of the network system that is mostly encountered is Phishing. Phishing is one of the most attacked of web-based which try to reveal some sensitive information. So many people or companies information is attacked by attackers by using these techniques. To prevent phishing damages we can provide the most secure networks or to get awareness of the people. To detect or preventing the phishing attacks we can build strong mechanism before they cause too much damage. In this paper, we are proposed an efficient machine learning based detection schema to detect or prevent the phishing attack. By implementing this technique we can get zero hour phishing attacks and they have superior adaption for new types of phishing attacks, therefore they are mainly preferred.


Phishing Attack, Entropy, Gain, Machine learning, URL, Domain Names.


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