P. Arunadevi, Anjali Vijayakumar, K. M. Jiju, K. Nithya, RVS College of Engineering and Technology, Coimbatore, Tamilnadu, India.
International Journal of Advanced Information and Communication Technology
Received On : December 10, 2020
Revised On : January 16, 2020
Accepted On : February 12, 2020
Published On : March 05, 2020
Volume 07, Issue 03
Pages : 033-036
Abstract
Cloud computing is a growing industry which provide instant access to data anytime and anywhere. The downside is there is no standardization of security features and entrusting our data with third parties. The hackers find way with security holes to steal and disrupt easily. Malware is of high importance to be detected. The adaptive anomaly algorithm with clustering and classification overcome shortcomings in previously devised algorithms.
Keywords
Cloud Computing; Malware; Anomaly Detection.
Cite this article
P. Arunadevi, Anjali Vijayakumar, K. M. Jiju, K. Nithya, “Malware Detection with Adaptive Anomaly Detection,” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 33–36, Feb. 2020.
Copyright
© 2020 P. Arunadevi, Anjali Vijayakumar, K. M. Jiju, K. Nithya. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.