An intrusion detection and prevention system in cloud computing: A systematic review
| Autor: | Ahmed Patel, Joaquim Celestino Júnior, Mona Taghavi, Kaveh Bakhtiyari |
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| Rok vydání: | 2013 |
| Předmět: |
Cloud computing security
Computer Networks and Communications business.industry Computer science Cloud computing Ontology (information science) Computer security computer.software_genre Computer Science Applications Autonomic computing System requirements Utility computing Hardware and Architecture Cloud testing Intrusion prevention system business computer |
| Zdroj: | Journal of Network and Computer Applications. 36:25-41 |
| ISSN: | 1084-8045 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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