Welcome to the InfoSci Platform
Reference Hub5
An Improved Intrusion Detection System to Preserve Security in Cloud Environment

An Improved Intrusion Detection System to Preserve Security in Cloud Environment

Partha Ghosh, Sumit Biswas, Shivam Shakti, Santanu Phadikar
Copyright: © 2020 |Volume: 14 |Issue: 1 |Pages: 14
ISSN: 1930-1650|EISSN: 1930-1669|EISBN13: 9781799805359|DOI: 10.4018/IJISP.2020010105
Cite Article Cite Article

MLA

Ghosh, Partha, et al. "An Improved Intrusion Detection System to Preserve Security in Cloud Environment." IJISP vol.14, no.1 2020: pp.67-80. http://doi.org/10.4018/IJISP.2020010105

APA

Ghosh, P., Biswas, S., Shakti, S., & Phadikar, S. (2020). An Improved Intrusion Detection System to Preserve Security in Cloud Environment. International Journal of Information Security and Privacy (IJISP), 14(1), 67-80. http://doi.org/10.4018/IJISP.2020010105

Chicago

Ghosh, Partha, et al. "An Improved Intrusion Detection System to Preserve Security in Cloud Environment," International Journal of Information Security and Privacy (IJISP) 14, no.1: 67-80. http://doi.org/10.4018/IJISP.2020010105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Cloud computing, also known as on-demand computing, provides different kinds of services for the users. As the name suggests, its increasing demand makes it prone to various intruders affecting the privacy and integrity of the data stored in the cloud. To cope with this situation, intrusion detection systems (IDS) are implemented in the cloud. An effective IDS constitutes of less time-consuming algorithm with less space complexity and higher accuracy. To do so, the number of features are reduced while maintaining minimal loss of information. In this paper, the authors have proposed a model by which the features are selected on the basis of mutual information gain among correlated features. To achieve this, they first group the features according to the correlativity. Then from each group, the features with the highest mutual information gain in their respective groups are selected. This led them to a reduced feature set which provides quick learning and thus produces a better IDS that would secure the data in the cloud.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.