Visible to the public Research on Network Attack Information Acquisition and Monitoring Method based on Artificial Intelligence

TitleResearch on Network Attack Information Acquisition and Monitoring Method based on Artificial Intelligence
Publication TypeConference Paper
Year of Publication2022
AuthorsYan, Lei, Liu, Xinrui, Du, Chunhui, Pei, Junjie
Conference Name2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
Keywordsartificial intelligence, artificial intelligence security, composability, Cyberspace, Human Behavior, information acquisition, IP networks, Market research, Metrics, monitoring method, National security, network attack, Network security, Personnel, Predictive Metrics, pubcrawl, resilience, Resiliency, security situational awareness
Abstract

Cyberspace is the fifth largest activity space after land, sea, air and space. Safeguarding Cyberspace Security is a major issue related to national security, national sovereignty and the legitimate rights and interests of the people. With the rapid development of artificial intelligence technology and its application in various fields, cyberspace security is facing new challenges. How to help the network security personnel grasp the security trend at any time, help the network security monitoring personnel respond to the alarm information quickly, and facilitate the tracking and processing of the monitoring personnel. This paper introduces a method of using situational awareness micro application actual combat attack and defense robot to quickly feed back the network attack information to the monitoring personnel, timely report the attack information to the information reporting platform and automatically block the malicious IP.

DOI10.1109/ITAIC54216.2022.9836895
Citation Keyyan_research_2022