Add to ORKGAbstract. Proposed is an algorithm for network security situation prediction (NSSP) based on adaptive clustering radical basis function (RBF) neural network. Experiment results show that, the proposed method not only reflects the general trend of network security situation, but also improves the prediction accuracy
Based on the design idea of future network, this paper analyzes the network security data sampling a...
Wireless sensor networks have strong dynamics and uncertainty, including network topological changes...
Public security events are occurring all over the world, bringing threat to personal and property sa...
A method for network security situation prediction is proposed，where the covariance matrix adaptatio...
AbstractSituation prediction is the advanced purpose of situation assessment. In order to resolve th...
With the increasing scale and complexity of the network, the network attack technology is also chang...
The current network security situation is becoming more and more severe. In order to improve the acc...
The validity and accuracy of the network security situation prediction algorithm is of great signifi...
Part 2: AIInternational audienceAs an emerging technology that blocks network security threats, netw...
AbstractThe security incidents ion networks are sudden and uncertain, it is very hard to precisely p...
Situation awareness refers to collect, process, and extract a variety of factors which can affect ...
To resolve the problems of low prediction accuracy and slow convergence speed of traditional extreme...
Situation prediction is an increasingly important focus in network security. The information of inco...
This paper presents an artificial neural network-based approach for static-security assessment. The ...
In today’s increasingly severe network security situation, network security situational awareness pr...
Based on the design idea of future network, this paper analyzes the network security data sampling a...
Wireless sensor networks have strong dynamics and uncertainty, including network topological changes...
Public security events are occurring all over the world, bringing threat to personal and property sa...
A method for network security situation prediction is proposed，where the covariance matrix adaptatio...
AbstractSituation prediction is the advanced purpose of situation assessment. In order to resolve th...
With the increasing scale and complexity of the network, the network attack technology is also chang...
The current network security situation is becoming more and more severe. In order to improve the acc...
The validity and accuracy of the network security situation prediction algorithm is of great signifi...
Part 2: AIInternational audienceAs an emerging technology that blocks network security threats, netw...
AbstractThe security incidents ion networks are sudden and uncertain, it is very hard to precisely p...
Situation awareness refers to collect, process, and extract a variety of factors which can affect ...
To resolve the problems of low prediction accuracy and slow convergence speed of traditional extreme...
Situation prediction is an increasingly important focus in network security. The information of inco...
This paper presents an artificial neural network-based approach for static-security assessment. The ...
In today’s increasingly severe network security situation, network security situational awareness pr...
Based on the design idea of future network, this paper analyzes the network security data sampling a...
Wireless sensor networks have strong dynamics and uncertainty, including network topological changes...
Public security events are occurring all over the world, bringing threat to personal and property sa...