Survey of Technology in Network Security Situation Awareness

Network security situation awareness (NSSA) is an integral part of cybersecurity defense, and it is essential for cybersecurity managers to respond to increasingly sophisticated cyber threats. Different from traditional security measures, NSSA can identify the behavior of various activities in the n...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 23; no. 5; p. 2608
Main Authors: Zhang, Junwei, Feng, Huamin, Liu, Biao, Zhao, Dongmei
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 27.02.2023
MDPI
Subjects:
Algorithms
Armed forces
artificial intelligence
Data security
Decision making
Forecasts and trends
Internet of Things
Neural networks
NSSA visualization
Ransomware
Review
Security management
situation assessment
situation awareness
situation prediction
Surveys
Systems design
Taxonomy
Trends
United States
China
Germany
NSSA visualization
situation prediction
situation assessment
situation awareness
artificial intelligence
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary:Network security situation awareness (NSSA) is an integral part of cybersecurity defense, and it is essential for cybersecurity managers to respond to increasingly sophisticated cyber threats. Different from traditional security measures, NSSA can identify the behavior of various activities in the network and conduct intent understanding and impact assessment from a macro perspective so as to provide reasonable decision support, predicting the development trend of network security. It is a means to analyze the network security quantitatively. Although NSSA has received extensive attention and exploration, there is a lack of comprehensive reviews of the related technologies. This paper presents a state-of-the-art study on NSSA that can help bridge the current research status and future large-scale application. First, the paper provides a concise introduction to NSSA, highlighting its development process. Then, the paper focuses on the research progress of key technologies in recent years. We further discuss the classic use cases of NSSA. Finally, the survey details various challenges and potential research directions related to NSSA.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23052608