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DCDIDP: A distributed, collaborative, and data-driven intrusion detection and prevention framework for cloud computing environments

Zargar, ST and Takabi, H and Joshi, JBD (2011) DCDIDP: A distributed, collaborative, and data-driven intrusion detection and prevention framework for cloud computing environments. In: UNSPECIFIED.

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Abstract

With the growing popularity of cloud computing, the exploitation of possible vulnerabilities grows at the same pace; the distributed nature of the cloud makes it an attractive target for potential intruders. Despite security issues delaying its adoption, cloud computing has already become an unstoppable force; thus, security mechanisms to ensure its secure adoption are an immediate need. Here, we focus on intrusion detection and prevention systems (IDPSs) to defend against the intruders. In this paper, we propose a Distributed, Collaborative, and Data-driven Intrusion Detection and Prevention system (DCDIDP). Its goal is to make use of the resources in the cloud and provide a holistic IDPS for all cloud service providers which collaborate with other peers in a distributed manner at different architectural levels to respond to attacks. We present the DCDIDP framework, whose infrastructure level is composed of three logical layers: network, host, and global as well as platform and software levels. Then, we review its components and discuss some existing approaches to be used for the modules in our proposed framework. Furthermore, we discuss developing a comprehensive trust management framework to support the establishment and evolution of trust among different cloud service providers. © 2011 ICST.

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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zargar, ST
Takabi, H
Joshi, JBDjjoshi@pitt.eduJJOSHI0000-0003-4519-9802
Date: 1 December 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: ColiaborateCom 2011 - Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing
Page Range: 332 - 341
Event Type: Conference
DOI or Unique Handle: 10.4108/icst.collaboratecom.2011.247158
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781936968367
Related URLs:
    Date Deposited: 08 Aug 2012 15:30
    Last Modified: 25 Apr 2020 14:55
    URI: http://d-scholarship.pitt.edu/id/eprint/13461

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