Xiangsen Xu
ABSTRACT
In recent years, frequent network security attacks have brought great security threats to computer users. Although the security protection system of technical departments is constantly optimized and improved, it is still in a passive position in terms of network attacks. In this article, a network security situation awareness (NSSA) model for big data (BD) environment is proposed, which makes intelligent correlation analysis, context awareness and traceability of security events, and realizes visual management of abnormal behaviors and panoramic display of risk situation. In this article, an NSSA model for BD environment is proposed, which carries out intelligent correlation analysis, context awareness and traceability of security events, and provides technical ideas and solutions for building an NSSA platform driven by BD, which integrates data collection, processing and analysis, security risk monitoring and assessment, active alarm of network threats, pre-judgment and self-defense of network attacks. The test results show that the algorithm can evaluate the network security situation (NSS) accurately and in real time, which provides a new method for the NSS assessment in BD field.
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Index Terms
- Application of Internet Big Data in Network Security Situation Assessment
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