An Abstract Model for Integrated Intrusion Detection and Severity Analysis for Clouds

Author:

Arshad Junaid1,Townend Paul1,Xu Jie1

Affiliation:

1. University of Leeds, UK

Abstract

Cloud computing is an emerging computing paradigm which introduces novel opportunities to establish large scale, flexible computing infrastructures. However, security underpins extensive adoption of Cloud computing. This paper presents efforts to address one of the significant issues with respect to security of Clouds i.e. intrusion detection and severity analysis. An abstract model for integrated intrusion detection and severity analysis for Clouds is proposed to facilitate minimal intrusion response time while preserving the overall security of the Cloud infrastructures. In order to assess the effectiveness of the proposed model, detailed architectural evaluation using Architectural Trade-off Analysis Model (ATAM) is used. A set of recommendations which can be used as a set of best practice guidelines while implementing the proposed architecture is discussed.

Publisher

IGI Global

Subject

General Medicine

Reference18 articles.

1. Arshad, J. (2009). Integrated intrusion detection and diagnosis for clouds. Paper presented at the 39th Annual IEEE International Conference on Dependable Systems and Networks, Lisbon, Portugal.

2. Arshad, J., & Townend, P. (2009). Quantification of security for compute intensive workloads in clouds. In Proceedings of the 15th International Conference on Parallel and Distributed Systems (pp. 479-486). Washington, DC: IEEE Computer Society.

3. Arshad, J., Townend, P., & Xu, J. (2010a). An automatic approach to intrusion detection and diagnosis for clouds. International Journal of Automation and Computing.

4. Arshad, J., Townend, P., & Xu, J. (2010b). An intrusion diagnosis perspective to cloud computing. International Journal of Automation and Computing.

5. Arshad, J., Townend, P., Xu, J., & Jie, W. (2010). Cloud computing security: Opportunities and pitfalls. International Journal of Cluster Computing.

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