Open AccessResearch on Unknown Threat Detection Method of Information System Based on Deep Learning
Author(s) -
LingHao Zhang,
Yunhui Liang,
Yong Tang,
Seng Wang,
Chaohua Tang,
Chun Liu
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 - 10.1088/1742-6596/1883/1/012107
Subject(s) - computer science , computer security , risk analysis (engineering) , information security , threatened species , information system , business , engineering , ecology , habitat , electrical engineering , biology
Enterprise information system may be threatened and attacked at any time from the external and internal environment, so how to improve the enterprise information system from the outside world unknown threat detection is particularly important. This paper is based on the method that is applied to detecting and identifying unknown threat, so as to protect and improve the information system’s safety and stability with technical support and guarantee. It can avoid the impact of unknown threat on information system security to the greatest extent.