Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57288
Title: NvCloudIDS: A security architecture to detect intrusions at network and virtualization layer in cloud environment
Contributor(s): Mishra, Preeti (author); Pilli, Emmanuel S (author); Varadharajant, Vijay (author); Tupakula, Udaya  (author)orcid 
Publication Date: 2016
DOI: 10.1109/ICACCI.2016.7732025
Handle Link: https://hdl.handle.net/1959.11/57288
Abstract: 

Today we are living in the era of Cloud Computing where services are provisioned to users on demand and on a pay-per-use basis. On oneside, Cloud Computing has made things easier but it has also opened new doors for cyber attackers. In this paper, we propose an efficient security architecture named as NvCloudIDS to deal with intrusions at Network and Virtualization layer in Cloud Environment. NvCloudIDS performs the behavioral analysis of network traffic coming to or going from Cloud Networking Server (CNS) and provides first level of defense from intrusions at network level. It also performs Virtual Machine (VM) memory introspection and VM traffic analysis at hypervsior layer of Cloud Compute Server (CCoS) and provides second level of defense at virtualization level. The architecture of NvCloudIDS is primarily designed to improve the robustness and power of attack detection of IDS by leveraging Virtual Machine Introspection (VMI) and Machine learning techniques. The framework is validated with recent intrusion dataset (UNSW-NB) and malware binaries collected from research centers and the results seem to be promising.

Publication Type: Conference Publication
Conference Details: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 21st - 24th September, 2016
Source of Publication: 2016 International conference on advances in computing, communications and informatics (), p. 56-62
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: United States of America
Fields of Research (FoR) 2020: 460407 System and network security
Socio-Economic Objective (SEO) 2020: 220405 Cybersecurity
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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