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An intrusion detection and prevention system in cloud computing: A systematic review - 2013

An intrusion detection and prevention system in cloud computing: A systematic review

Research Area:  Cloud Security

Abstract:

The distributed and open structure of cloud computing and services becomes an attractive target for potential cyber-attacks by intruders. The traditional Intrusion Detection and Prevention Systems (IDPS) are largely inefficient to be deployed in cloud computing environments due to their openness and specific essence. This paper surveys, explores and informs researchers about the latest developed IDPSs and alarm management techniques by providing a comprehensive taxonomy and investigating possible solutions to detect and prevent intrusions in cloud computing systems. Considering the desired characteristics of IDPS and cloud computing systems, a list of germane requirements is identified and four concepts of autonomic computing self-management, ontology, risk management, and fuzzy theory are leveraged to satisfy these requirements.

Keywords:  

Author(s) Name:  Ahmed Moosajee Patel,Mona Taghavi,Kaveh Bakhtiyari,Joaquim Celestino JĂșnior

Journal name:  Journal of Network and Computer Applications

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.jnca.2012.08.007

Volume Information:   Volume 36, Issue 1, January 2013, Pages 25-41