Structural Robustness of Complex Networks: A Survey of A Posteriori Measures [Feature]
Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …
attacks, which has various meanings in different research contexts and here it refers to the …
[HTML][HTML] Controllability robustness of complex networks
G Chen - Journal of Automation and Intelligence, 2022 - Elsevier
This article presents an overview on the state-of-the-art development in complex network
controllability and its robustness against malicious attacks and random failures. Specifically …
controllability and its robustness against malicious attacks and random failures. Specifically …
A learning convolutional neural network approach for network robustness prediction
Network robustness is critical for various societal and industrial networks against malicious
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
A convolutional neural network approach to predicting network connectedness robustness
To quantitatively measure the connectedness robustness of a complex network, a sequence
of values that record the remaining connectedness of the network after a sequence of node …
of values that record the remaining connectedness of the network after a sequence of node …
Classification-based prediction of network connectivity robustness
Today, there is an increasing concern about malicious attacks on various networks in society
and industry, against which the network robustness is critical. Network connectivity …
and industry, against which the network robustness is critical. Network connectivity …
Gaze tracking using an unmodified web camera and convolutional neural network
Gaze estimation plays a significant role in understating human behavior and in human–
computer interaction. Currently, there are many methods accessible for gaze estimation …
computer interaction. Currently, there are many methods accessible for gaze estimation …
Network robustness prediction: Influence of training data distributions
Network robustness refers to the ability of a network to continue its functioning against
malicious attacks, which is critical for various natural and industrial networks. Network …
malicious attacks, which is critical for various natural and industrial networks. Network …
Comprehensive analysis of network robustness evaluation based on convolutional neural networks with spatial pyramid pooling
Connectivity robustness, crucial for network understanding, optimization, and repair, has
been evaluated traditionally through time-consuming and often impractical simulations …
been evaluated traditionally through time-consuming and often impractical simulations …
A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network
Despite various measures across different engineering and social systems, network
robustness remains crucial for resisting random faults and malicious attacks. In this study …
robustness remains crucial for resisting random faults and malicious attacks. In this study …
[PDF][PDF] An improved CNN approach for network intrusion detection system
J Hu, C Liu, Y Cui - International Journal of Network Security, 2021 - ijns.jalaxy.com.tw
To solve the low average recognition rate of a multiclass intrusion detection system based
on Convolutional Neural Network (CNN), a CNN-based intrusion detection method …
on Convolutional Neural Network (CNN), a CNN-based intrusion detection method …