Data-Driven Zero Trust Key Algorithm

• Published in: Wireless communications and mobile computing Vol. 2022; no. 1
• Main Authors: Liu, Zhiwei, Li, Xiaoyu, Mu, Dejun
• Format: Journal Article
• Language: English
• Published: Oxford Hindawi 2022; John Wiley & Sons, Inc
• Subjects: Access control; Alarms; Algorithms; Artificial intelligence; Big Data; Cloud computing; Correlation analysis; Cybersecurity; False alarms; Fuzzy logic; Internet; Mathematical models; Neural networks; New technology; Process controls; Security management; Security systems; Trust
• ISSN: 1530-8669; 1530-8677; 1530-8677
• DOI: 10.1155/2022/8659428

In today’s information society, network security is a crucial issue. Network security technology is changing as a result of the development of emerging technologies such as big data, cloud computing, and artificial intelligence. Data-driven (DD) security has emerged as a new network security technology development direction. The key technologies for DD network security are discussed in depth in this paper. A data security protection system is designed from the perspective of ZT, based on advanced security concepts and technologies developed by ZT, as well as a foreign data security governance framework. The number of alarms generated per hour is counted, removal rules are defined, and real-time rule matching is performed to eliminate false alarms based on different combinations of attributes. By analyzing the security data generation rules and internal relations, a security aggregation method can reduce redundant data and improve alarm quality.