CSPM

Tian Xia, H. Washizaki, Y. Fukazawa, H. Kaiya, Shinpei Ogata, E. Fernández, Takehisa Kato, Hideyuki Kanuka, T. Okubo, Nobukazu Yoshioka, A. Hazeyama
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引用次数: 3

Abstract

Security and privacy in cloud systems are critical. To address security and privacy concerns, many security patterns, privacy patterns, and non-pattern-based knowledge have been reported. However, 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 handle 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.
云系统的安全性和隐私性至关重要。为了解决安全和隐私问题,已经报道了许多安全模式、隐私模式和非基于模式的知识。然而,知道在特定场景中使用哪种模式或模式组合是具有挑战性的,因为有大量的选项和分层的云堆栈。为了解决云服务中的安全与隐私问题,本研究提出了云安全与隐私元模型(CSPM)。CSPM使用一致的方法对现有的安全和隐私模式进行分类和处理。此外,CSPM还用于开发用于开发云系统的安全和隐私意识流程。通过几个案例分析,证明了CSPM的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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