Paper
11 July 2024 Research on data privacy protection and information security algorithm technology in the standard digitalization background
Yao Lu, Xiaoxin Gao, Lei Zhang
Author Affiliations +
Abstract
This article addresses the challenges of data privacy protection and information security in the context of standard digitization, systematically examining the current status and practical applications of relevant algorithmic technologies. It elucidates the essence and characteristics of standard digitization, analyzes the necessity and urgency of strengthening data privacy protection and information security. The article reviews the current situation of data privacy protection and information security both domestically and internationally, highlighting the heightened requirements imposed by standard digitization on both fronts. It focuses on exploring advanced privacy protection and security algorithmic technologies such as homomorphic encryption, differential privacy, federated learning, cryptographic algorithms, artificial intelligence, and evaluates their performance through experiments. Finally, the article analyzes the application effects of algorithmic technologies in real scenarios, using a case study from the electricity industry, confirming their effectiveness and practicality. This research holds significant reference value for promoting technological innovation and practical applications in data privacy protection and information security under the conditions of digital economy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yao Lu, Xiaoxin Gao, and Lei Zhang "Research on data privacy protection and information security algorithm technology in the standard digitalization background", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 132101I (11 July 2024); https://doi.org/10.1117/12.3034787
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KEYWORDS
Data privacy

Information security

Standards development

Computer security

Evolutionary algorithms

Security technologies

Industry

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