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Access Control Design Practice and Solutions in Cloud-Native Architecture: A Systematic Mapping Study.
Rahaman, Md Shahidur; Tisha, Sadia Nasrin; Song, Eunjee; Cerny, Tomas.
Afiliação
  • Rahaman MS; Department of Computer Science, ECS, Baylor University, Waco, TX 76798, USA.
  • Tisha SN; Department of Computer Science, ECS, Baylor University, Waco, TX 76798, USA.
  • Song E; Department of Computer Science, ECS, Baylor University, Waco, TX 76798, USA.
  • Cerny T; Department of Computer Science, ECS, Baylor University, Waco, TX 76798, USA.
Sensors (Basel) ; 23(7)2023 Mar 24.
Article em En | MEDLINE | ID: mdl-37050474
Protecting the resources of a cloud-native application is essential to meet an organization's security goals. Cloud-native applications manage thousands of user requests, and an organization must employ a proper access control mechanism. However, unfortunately, developers sometimes grumble when designing and enforcing access decisions for a gigantic scalable application. It is sometimes complicated to choose the potential access control model for the system. Cloud-native software architecture has become an integral part of the industry to manage and maintain customer needs. A microservice is a combination of small independent services that might have hundreds of parts, where the developers must protect the individual services. An efficient access control model can defend the respective services and consistency. This study intends to comprehensively analyze the current access control mechanism and techniques utilized in cloud-native architecture. For this, we present a systematic mapping study that extracts current approaches, categorizes access control patterns, and provides developers guidance to meet security principles. In addition, we have gathered 234 essential articles, of which 29 have been chosen as primary studies. Our comprehensive analysis will guide practitioners to identify proper access control mechanisms applicable to ensuring security goals in cloud-native architectures.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article