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Open AccessArticle

Security Pattern for Cloud SaaS: From System and Data Security to Privacy Case Study in AWS and Azure

Software Engineering Department, Sirris, BE-1030 Brussels, Belgium
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This paper is an extended version of our paper published in IEEE CloudTech 2018; Security Pattern for Cloud SaaS: from system and data security to privacy—Annanda Rath, Philippe Thiran, Bojan Spasic and Nick Boucart.
Computers 2019, 8(2), 34; https://doi.org/10.3390/computers8020034
Received: 29 March 2019 / Revised: 19 April 2019 / Accepted: 28 April 2019 / Published: 3 May 2019
The Cloud is fast becoming a popular platform for SaaS, a popular software delivery model. This is because the Cloud has many advantages over the traditional private infrastructure, such as increased flexibility, no maintenance, less management burden, easy access and easy to share information. However, there are many concerns around issues like system security, communication security, data security, privacy, latency and availability. In addition, when designing and developing Cloud SaaS application, these security issues need to be addressed in order to ensure regulatory compliance, security and trusted environment for Cloud SaaS users. In this paper, we explore the security patterns for Cloud SaaS. We work on the patterns covering different security aspects from system and data security to privacy. Our goal is to produce the security best practices and security knowledge documentation that SaaS developer can use as a guideline for developing Cloud SaaS applications from the ground up. In addition to that, we also provide a case study of security patterns and solutions in AWS and Azure. View Full-Text
Keywords: cloud; security patterns; SaaS; software security; AWS; Azure; security patterns definition methodology cloud; security patterns; SaaS; software security; AWS; Azure; security patterns definition methodology
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Rath, A.; Spasic, B.; Boucart, N.; Thiran, P. Security Pattern for Cloud SaaS: From System and Data Security to Privacy Case Study in AWS and Azure. Computers 2019, 8, 34.

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