Associated optimization algorithm is proposed based on improved competition network data in the invasion route map calculation method. This method calculates the average rate of intrusion detection network detection module
a real-time invasion of network data flow model
and get the invasion of network data flow characteristics
on the basis of the use of competition associated intrusion parameters optimization algorithm is used to select data network intrusion of cluster heads
and use the add competition factor of ant colony method for each of the routes in the network intrusion detection
effectively completed the route map of network intrusion data calculation. The experimental results show that the associated optimization algorithm based on improved competition calculation method of the network data in the invasion route map can effectively enhance the security and stability of the network communication.
A traffic anomaly detection model integrating class-selective encoder and CTGAN
An improved intrusion detection method for GraphSAGE
Improved grey wolf optimization algorithm for intrusion detection feature selection
Based ontwice decision for deep learning intrusion detection model
Dynamic Classifier Ensemble for Intrusion Detection Based on Positive Unlabeled Learning
Related Author
YANG Zi
WU Cong
JIN Haibo
WANG Jinwei
CHEN Hong
LIU Shifeng
SHEN Xueli
BAO Jie
Related Institution
College of Software, Liaoning University of Engineering Technology
College of Innovation Practice, Liaoning University of Engineering Technology
College of Software, Liaoning Technical University
School of Electronic Information, Guangxi Minzu University
Guilin University of Electronic Technology Guangxi Key Laboratory of Imageand Graphic Intelligent Processing, Guilin University of Electronic Technology