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Author:

Maroc, Sarah (Maroc, Sarah.) | Zhang, Jianbiao (Zhang, Jianbiao.) (Scholars:张建标)

Indexed by:

EI Scopus

Abstract:

Various classifications have been proposed to describe and organize the cloud security landscape. While some are inherited from general security concepts like security attributes (confidentiality, integrity, and availability), others are based on cloud specific characteristics such as cloud service models and stakeholders' roles. Despite the extensive body of research on developing classifications for cloud computing security, a study on the principles and dimensions of these classifications have largely escaped rigorous analysis. This paper presents a comprehensive survey of the existing cloud computing security classifications, taxonomies, and ontologies. We explore their strengths, limitations, and effective use in an attempt to draw the general properties for a holistic framework that can provide a comprehensive view of cloud computing security and help better understand this evolving field. Researchers may find in this paper a road map and an overview of what exists in terms of cloud security classifications, taxonomies, and ontologies. © 2019 Association for Computing Machinery.

Keyword:

Network security Taxonomies Artificial intelligence Classification (of information) Cloud computing Ontology

Author Community:

  • [ 1 ] [Maroc, Sarah]Beijing Key Laboratory of Trusted Computing, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhang, Jianbiao]Beijing Key Laboratory of Trusted Computing, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

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Source :

Year: 2019

Page: 666-672

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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