Metamodel for Security and Privacy Knowledge in Cloud Service Development

Tian Xia; Hironori Washizaki; Yoshiaki Fukazawa; Takehisa Kato; Haruhiko Kaiya; Shinpei Ogata; Eduardo B. Fernandez; Hideyuki Kanuka; Masayuki Yoshino; Dan Yamamoto; Takao Okubo; Nobukazu Yoshioka; Atsuo Hazeyama

doi:10.20944/preprints201904.0106.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 8 April 2019 / Approved: 9 April 2019 / Online: 9 April 2019 (11:46:02 CEST)

Requirements for cloud services include security and privacy. Although many security patterns, privacy patterns, and non-pattern-based knowledge have been reported, knowing which pattern or combination of patterns to use in a specific scenario is challenging due to the sheer volume of options and the layered cloud stack. To deal with security and privacy in cloud services, this study proposes the Cloud Security and Privacy Metamodel (CSPM). CSPM uses a consistent approach to classify and support existing security and privacy patterns. In addition, CSPM is used to develop a security and privacy awareness process to develop cloud systems. The effectiveness and practicality of CSPM is demonstrated via several case studies.

cloud computing; security patterns; privacy patterns; software and system architecture

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Metamodel for Security and Privacy Knowledge in Cloud Service Development

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