Network security data visualization

Hong Huang; ZiYun Zhou; AnYun Liu; BinHao Fang

doi:10.1117/12.2624823

13 December 2021 Network security data visualization

Hong Huang, ZiYun Zhou, AnYun Liu, BinHao Fang

Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120870B (2021) https://doi.org/10.1117/12.2624823
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China

Abstract

In the past year of 2020, life in the post-epidemic era continues to move towards cyberspace. The surge in magnitude and value of data has also brought more data abuse, attacks and thefts, and data security issues have become particularly prominent. Moreover, in recent years, data attacks have become more subtle and complex, making traditional security protection methods stretched. Therefore, in view of the data security threats under the new situation, it has become urgent to study new security protection methods. Due to the intuitive sensory advantages of visual analysis, security visual analysis is gradually becoming an effective means to guarantee data security and gradually arouses people's attention. As a cross-cutting research field, network security data visualization can effectively improve the perception and understanding of network security experts in the process of analyzing network security issues by providing information and interactive visualization methods. First, we review the methods of network security data visualization and analyze the basic methods and processes of visualization after investigating the current research status of network security data visualization. Then we introduce data visualization techniques suitable for network security and analyze the existing problems. Finally, we make a conclusion for future trends.

Citation Download Citation

Hong Huang, ZiYun Zhou, AnYun Liu, and BinHao Fang "Network security data visualization", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120870B (13 December 2021); https://doi.org/10.1117/12.2624823

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