Table of Content

Cyberspace Intelligent Mapping and Situational Awareness

Submission Deadline: 25 December 2022 Submit to Special Issue

Guest Editors

Prof. Xiangyang Luo, State Key Laboratory of Mathematical Engineering and Advanced Computing, China; Key Laboratory of Cyberspace Situation Awareness of Henan Province, China
Prof. Yun-Qing Shi, New Jersey Institute of Technology, USA
Prof. Jinwei Wang, Nanjing University of Information Science & Technology, China
Prof. Qi Liu, Edinburgh Napier University, UK
Prof. Le Sun, Sungkyunkwan University, Korea
Dr. Yi Zhang, State Key Laboratory of Mathematical Engineering and Advanced Computing, China; Key Laboratory of Cyberspace Situation Awareness of Henan Province, China

Summary

As a new confrontation field, cyberspace needs a comprehensive and accurate cyberspace map oriented to cybergovernance confrontation actions. Cyberspace intelligent mapping is a technology for constructing cyberspace maps. The goal is to detect, measure, analyze and draw network resources of various sources and types. Furthermore, network security situational awareness acquires, understands, evaluates and predicts future development trends of many elements that affect network security. It is a means of quantitative analysis of network security and a fine measure of network security. The focus of security technology in the era of network security 2.0 plays a very important role in ensuring network security.


This special issue focuses on cyberspace intelligent mapping and situational awareness. We invite researchers to contribute original research articles as well as review articles to this special issue. Potential topics include, but are not limited to:

 

New models and methods in cyberspace mapping

Network intelligent mapping algorithms

Cyberspace data collection and analysis

Multimedia encryption and forensic

Covert communication for new network scenarios

Artificial intelligence based communication carrier generation

Privacy protection and digital forensics

Cyberspace situational understanding

Machine learning, data mining, and information retrieval for network relationship understanding

Network situational assessment and prediction

Visualization and interaction method of cyberspace situation

Possible threat judgment and early warning in cyberspace


Keywords

Cyberspace mapping; Situational awareness; Cyberspace data collection and analysis; Cyberspace situational understanding; Network possible threat warning.

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