A Review on Cyber Threats Analysis Using Data Mining Techniques – With Special Reference to Phishing Attacks

Authors

  • M. Rajitha Research Scholar, Department of Computer Science, Sree Narayana Guru College, Coimbatore, India
  • R. Priya Associate Professor, Department of Computer Science, Sree Narayana Guru College, Coimbatore, India

Keywords:

Cyber threats, Phishing, Data mining, Machine Learning

Abstract

The article discusses the reviews and problem of effective monitoring of measures taken to enforce cyber security. Phishing is the most commonly used social engineering and cyber-attack. Through such attacks, the phisher primarily targets typical online users by tricking them into revealing confidential information, with the purpose of using it for fraud. To avoid getting phished, users should be aware of phishing websites. To form blacklist of phishing websites, it requires information of website being detected as phishing. Detect them in their early appearance, using Machine Learning and Deep Neural Network algorithms. The machine learning based method is proven to be most effective and useful than the other methods. Albeit, online users are still being trapped or forced to reveal sensitive information in phishing websites.

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Published

26-05-2022

Issue

Section

Articles

How to Cite

[1]
M. Rajitha and R. Priya, “A Review on Cyber Threats Analysis Using Data Mining Techniques – With Special Reference to Phishing Attacks”, IJMDES, vol. 1, no. 5, pp. 13–14, May 2022, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijmdes.com/ijmdes/article/view/26