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Article type: Research Article
Authors: Zhao, Lihui
Affiliations: Department of Construction Information Engineering, Henan Technical College of Construction, Zhengzhou, Henan 450064, China | E-mail: [email protected]
Correspondence: [*] Corresponding author: Department of Construction Information Engineering, Henan Technical College of Construction, Zhengzhou, Henan 450064, China. E-mail: [email protected].
Abstract: Due to the lack of data security protection, a large number of malicious information leaks, which makes building information security (InfoSec) issues more and more attention. The construction information involves a large number of participants, and the number of construction project files is huge, leading to a huge amount of information. However, traditional network security information protection software is mostly passive, which is difficult to enhance its autonomy. Therefore, this text introduced data sharing algorithm in building InfoSec management. This text proposed an Attribute Based Encryption (ABE) algorithm based on data sharing, which is simple in calculation and strong in encrypting attributes. This algorithm was added to the building InfoSec management system (ISMS) designed in this text, which not only reduces the burden of relevant personnel, but also has flexible control and high security. The experimental results showed that when 10 users logged in to the system, the stability and security of the system designed in this text were 87% and 91% respectively. When 20 users logged in to the system, the system stability and security designed in this text were 89% and 92% respectively. When 80 users logged in to the system, the system stability and security designed in this text were 94% and 95% respectively. It can be found that the stability and security of the system have reached a high level, which can ensure the security of effective management of building information.
Keywords: Data sharing, attribute based encryption, construction information, security management system
DOI: 10.3233/IDT-230144
Journal: Intelligent Decision Technologies, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
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