Real-time early warning of network security threats based on improved ant colony algorithm

doi:10.1109/ICICTA49267.2019.00072

IR > 外国语学院

	Real-time early warning of network security threats based on improved ant colony algorithm
	Cui, A-Jun 1; Li, Chen2 ; Wang, Xiao-Ming 1
	2019-10-01
会议名称	12th International Conference on Intelligent Computation Technology and Automation, ICICTA 2019
会议录名称	Proceedings - 2019 12th International Conference on Intelligent Computation Technology and Automation, ICICTA 2019
页码	309-316
会议日期	October 26, 2019 - October 27, 2019
会议地点	Xiangtian, Hunan, China
出版者	Institute of Electrical and Electronics Engineers Inc., United States
摘要	In order to better ensure the operation safety of the network, the real-time early warning of network security threats is studied based on the improved ant colony algorithm. Firstly, the network security threat perception algorithm is optimized based on the principle of neural network, and the network security threat detection process is standardized according to the optimized algorithm. Finally, the real-time early warning of network security threats is realized. Finally, the experiment proves that the network security threat real-time warning based on the improved ant colony algorithm has better security and stability than the traditional warning methods, and fully meets the research requirements. © 2019 IEEE.
关键词	Ant colony optimization Intelligent computing Security systems Early warning Improved ant colony algorithm Operation safety Optimized algorithms Real time Real time warning Security and stability Security threats
DOI	10.1109/ICICTA49267.2019.00072
收录类别	EI
语种	英语
EI入藏号	20201308346296
EI主题词	Network security
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 914.1 Accidents and Accident Prevention - 921.5 Optimization Techniques
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/117969
专题	外国语学院
作者单位	1.College of Electronical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.College of Foreign Languages, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Cui, A-Jun,Li, Chen,Wang, Xiao-Ming. Real-time early warning of network security threats based on improved ant colony algorithm[C]:Institute of Electrical and Electronics Engineers Inc., United States,2019:309-316.