A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments

被引：26

作者：

Kurdi, Heba ^{[1
,2
]}

Alfaries, Auhood ^{[3
,4
]}

Al-Anazi, Abeer ^{[5
]}

Alkharji, Sara ^{[1
]}

Addegaither, Maimona ^{[1
]}

Altoaimy, Lina ^{[3
]}

Ahmed, Syed Hassan ^{[6
]}

机构：

[1] King Saud Univ, Comp Sci Dept, Riyadh, Saudi Arabia

[2] MIT, Mech Engn Dept, Cambridge, MA 02142 USA

[3] King Saud Univ, Informat Technol Dept, Riyadh, Saudi Arabia

[4] Princess Nourah Bint Abdulrahman Univ, Coll Comp Sci & Informat, Riyadh, Saudi Arabia

[5] Prince Sattam Univ, Comp Sci Dept, Alkharj Riyadh, Saudi Arabia

[6] Georgia Southern Univ, Dept Comp Sci, Statesboro, GA 30460 USA

来源：

JOURNAL OF SUPERCOMPUTING | 2019年 / 75卷 / 07期

关键词：

Trust management; Cloud computing; Interconnected cloud; TNA-SL algorithm; Subjective logic; SYSTEM; MECHANISM;

D O I：

10.1007/s11227-018-2669-y

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The interconnected cloud computing paradigm is gaining considerable attention as a fundamental emerging model of cloud computing. It allows a wide range of interactions and collaborations across multiple service providers. Despite the potential advantages of interconnected clouds, establishing trust among participating parties is a challenging issue. In this paper, we introduce a lightweight trust management algorithm based on subjective logic (InterTrust) to promote trust in interconnected clouds. The experimental results demonstrate that InterTrust is capable of producing accurate trust information with significantly low execution time and high scalability compared to application of both the well-established trust management algorithm trust network analysis with subjective logic and no trust algorithm.

引用

页码：3534 / 3554

页数：21

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[1] A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments
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Auhood Alfaries
Abeer Al-Anazi
Sara Alkharji
Maimona Addegaither
Lina Altoaimy
Syed Hassan Ahmed
[J]. The Journal of Supercomputing, 2019, 75 : 3534 - 3554
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