An Integrated and Improved Scheme for Efficient Intrusion Detection in Cloud

Prachi Tembhare¹ , Neeraj Shukla²

1. Dept. of Computer Technology and Application, R.G.P.V., Bhopal, India.
2. Dept. of Computer Technology and Application, R.G.P.V., Bhopal, India.

Correspondence should be addressed to: prachitembhare@gmail.com, .

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.74-78, Jun-2017

Online published on Jun 30, 2017

Copyright © Prachi Tembhare, Neeraj Shukla . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Cloud computing environments are easy targeted by intruders and pose new risks and threats to an organization because of its service and operational models, the underlying technologies, and their distributed nature that relies on the network for its working. However, IDSs are among the efficient security mechanisms that can handle most of the threats of cloud computing. In spite this, several deficiencies of current IDSs technologies and solutions hinder their adoption in a cloud. The proposed work focuses on developing improved IDS that provides an integrated approach of both techniques i.e. anomaly based as well as knowledge based whether implement on network or host based IDS for cloud computing to detect masquerade, host, and network attacks and provides efficient deployments to detect DDoS attacks. The work comprises of integration of two powerful open source tool Suricata and Snort together with the proposed DDoS detection rule make the working of IDS more effective and high alarm rate generating Hybrid IDS.

Key-Words / Index Term :
Cloud Security, Distributed Denial of Service Attack, Intrusion Detection System, Suricata, Snort, Hybrid IDS

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