MC-ABAC: An ABAC-based Model for Collaboration in Multi-Cloud Environment

被引:0
作者
Madani, Mohamed Amine [1 ]
Kerkri, Abdelmounaim [2 ]
Aissaoui, Mohammed [2 ]
机构
[1] Mohammed Premier Univ, Engn Sci Lab LSI, Natl Sch Appl Sci, Oujda, Morocco
[2] Mohammed Premier Univ, Natl Sch Appl Sci, Lab Stochast & Determinist Modeling, Oujda, Morocco
关键词
ABAC model; multi-tenant; multi-cloud; collabora-tion; trust;
D O I
10.14569/IJACSA.2023.01406126
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Collaborative systems allow a group of organizations to collaborate and complete shared tasks through distributed platforms. Organizations who collaborate often leverage cloud-based solutions to outsource their data and to benefit from the cloud capabilities. During such collaborations, tenants require access to and utilize resources held by other collaborating tenants, which are hosted across multiple cloud providers. Ensuring access control in a cloud-based collaborative application is a crucial problem that needs to be addressed, particularly in a multi-cloud environment. This paper presents the Multi-Cloud ABAC: MCABAC model, an extension of the ABAC: Attribute Based Access Control model, suitable for ensuring secure collaboration and cross-tenant access in a multi-cloud environment. The MC-ABAC introduces the notions of tenant, cloud customer and cloud service provider as fundamental entities within the model. Additionally, it incorporates multiple trust relations to enable collaboration and resource sharing among tenants in the multi-cloud environment. To demonstrate its feasibility, we have implemented the MCABAC model using Python technology.
引用
收藏
页码:1182 / 1190
页数:9
相关论文
共 50 条
  • [11] DAGWO based secure task scheduling in Multi-Cloud environment with risk probability
    Jawade, Prashant Balkrishna
    Ramachandram, S.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (1) : 2527 - 2550
  • [12] A Resource Estimation Method in Multi-Cloud Environment with a Model based on a Repairable-Item Inventory System
    Okuda, Naoki
    Maeda, Kaori
    Takano, Chisa
    Ichihara, Hideyuki
    2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 1113 - 1120
  • [13] DAGWO based secure task scheduling in Multi-Cloud environment with risk probability
    Prashant Balkrishna Jawade
    S. Ramachandram
    Multimedia Tools and Applications, 2024, 83 : 2527 - 2550
  • [14] SLA-based task scheduling algorithms for heterogeneous multi-cloud environment
    Sanjaya K. Panda
    Prasanta K. Jana
    The Journal of Supercomputing, 2017, 73 : 2730 - 2762
  • [15] User preferences oriented cloud service selection in multi-cloud environment
    Liu, Li
    Yang, Letian
    Fan, Qi
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2019, 20 (02) : 133 - 145
  • [16] A Multi-Recommenders System for Service Provisioning in Multi-Cloud Environment
    Mezni, Haithem
    2017 28TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA), 2017, : 142 - 146
  • [17] SLA-based task scheduling algorithms for heterogeneous multi-cloud environment
    Panda, Sanjaya K.
    Jana, Prasanta K.
    JOURNAL OF SUPERCOMPUTING, 2017, 73 (06) : 2730 - 2762
  • [18] Secure Model based on Multi-cloud for Big Data Storage and Query
    Yang, Zhendong
    Wang, Liangmin
    Song, Xiangmei
    2016 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2016), 2016, : 207 - 214
  • [19] A Genetic-based Approach to Location-aware Cloud Service Brokering in Multi-cloud Environment
    Shi, Tao
    Ma, Hui
    Chen, Gang
    2019 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (IEEE SCC 2019), 2019, : 146 - 153
  • [20] Selection of Cloud Service Providers for Hosting Web Applications in a Multi-cloud Environment
    Ramamurthy, Arun
    Saurabh, Saket
    Gharote, Mangesh
    Lodha, Sachin
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020), 2020, : 202 - 209