Survey of Technology in Network Security Situation Awareness

Author:

Zhang Junwei1ORCID,Feng Huamin2,Liu Biao2,Zhao Dongmei3

Affiliation:

1. School of Cyber Engineering, Xidian University, Xi’an 710126, China

2. School of Cyber Engineering, Beijing Electronic Science and Technology Institute, Beijing 100070, China

3. College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang 050025, China

Abstract

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.

Funder

“High-precision” Discipline Construction Project of Beijing Universities

Hebei Science Supported Planning Projects

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel network security situation assessment technology for zero-day attacks based on improved adversarial autoencoder;International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023);2023-12-07

2. AHP-Based Network Security Situation Assessment for Industrial Internet of Things;Electronics;2023-08-15

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