Open AccessResearch on Intelligent Analysis Technology of Network Security Risk Based on Big Data
Author(s) -
Yibing Zhao,
Juling Zhang,
Siyu Xiang,
Yong Tang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1792/1/012036
Subject(s) - vulnerability (computing) , reliability (semiconductor) , computer science , big data , computer security , vulnerability assessment , information security , risk analysis (engineering) , network security , data science , data mining , power (physics) , business , psychology , physics , quantum mechanics , psychological resilience , psychotherapist
Aiming at the severity and distribution of abnormal behaviour, attack behaviour, compliance, and vulnerability of equipment in the power information system, this article applies big data technology to analyse and evaluate abnormal behaviour in the network, and uses machine learning to improve the network, the ability to identify security risks and the accuracy of assessments provide strong guarantees and technical support for improving the security and reliability of power information systems.