Classification of Malware using Machine learning and Deep learning Techniques

Authors

  • Dr.Khyati Rami ,Prashant Halvadiya , Mayank Devani

Keywords:

Malware Classification, Machine Learning, Deep Learning, Binary Classification

Abstract

The threats impose by the cyber-attacks due to malicious software (malware) have beenincreasing drastically with the evolution of information technology. Since people use webapplications on a daily basis these malware attacks have become challenging

References

B. Cakir and E. Dogdu, “Malware classification using deep learning methods,” Proc. ACMSE 2018 Conf., vol. 2018-January, no. April 2018.

A. P. Namanya, A. Cullen, I. U. Awan, and J. P. Disso, “The World of Malware: An Overview,” Proc. - 2018 IEEE 6th Int. Conf. Futur. Internet Things Cloud,FiCloud 2018, no. September, pp. 420–427, 2018.

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Published

2024-03-14

How to Cite

Dr.Khyati Rami ,Prashant Halvadiya , Mayank Devani. (2024). Classification of Malware using Machine learning and Deep learning Techniques. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 892–906. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3313

Issue

Vol. 33 No. 4 (2024): Selected Papers on Computational Techniques Across Multidisciplinary Fields: Innovations and Applications

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.