Paper
23 August 2023 Research on illegal access behavior control of heterogeneous cloud resources based on lifecycle characteristics
Junbing Pan, Anni Huang, Yun Dong, Jiacheng Fu, Dengbin Liao
Author Affiliations +
Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278438 (2023) https://doi.org/10.1117/12.2691811
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
The current conventional illegal access behavior security control strategy for heterogeneous cloud resources mainly realizes the access control of resources by conceiving the digital identity of access units, which leads to the low security of access control due to the low encryption of heterogeneous cloud resources. In this regard, the heterogeneous cloud resource illegal access behavior security control strategy based on life cycle characteristics is proposed. By analyzing the user access history behavior data, the trust value of user access operation is calculated. And the access control policy is constructed based on the encryption of user's operation behavior as well as resources by using a two-layer encryption algorithm. In the experiment, the designed illegal access behavior security control policy is tested for security type. The final result can prove that when using the proposed method for access control of heterogeneous cloud resources, the speed of intercepting illegal users is faster, and when facing various types of attacks, this method has a low success rate and high access control security.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junbing Pan, Anni Huang, Yun Dong, Jiacheng Fu, and Dengbin Liao "Research on illegal access behavior control of heterogeneous cloud resources based on lifecycle characteristics", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278438 (23 August 2023); https://doi.org/10.1117/12.2691811
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KEYWORDS
Clouds

Computer security

Data transmission

Design and modelling

Network security

Analytical research

Cloud computing

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