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 …
A computationally efficient evolutionary algorithm for multiobjective network robustness optimization
The robustness of complex networks is of great significance. Great achievements have been
made in robustness optimization based on single measures, however, such networks may …
made in robustness optimization based on single measures, however, such networks may …
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 …
Enhancing the robustness of networks against multiple damage models using a multifactorial evolutionary algorithm
Networked systems widely exist in the modern society, and these systems are always
operated in the presence of attacks and errors. The robustness of a network indicates its …
operated in the presence of attacks and errors. The robustness of a network indicates its …
Surrogate-assisted robust optimization of large-scale networks based on graph embedding
Robust optimization of complex networks has attracted much attention in recent years.
Although existing methods have been successful in achieving promising results, the …
Although existing methods have been successful in achieving promising results, the …
Optimization of network topology robustness in IoTs: A systematic review
Abstract Internet of Things (IoT) has emerged as one of the most promising technologies of
the modern era, enabling connectivity between devices and systems for efficient data …
the modern era, enabling connectivity between devices and systems for efficient data …
Enhancing the robustness of influential seeds towards structural failures on competitive networks via a memetic algorithm
Networked systems present the correlative relation between entities, and the related
knowledge excavation problem has been greatly emphasized in the last decade. The …
knowledge excavation problem has been greatly emphasized in the last decade. The …
CyberPulse++: A machine learning‐based security framework for detecting link flooding attacks in software defined networks
A new class of link flooding attacks (LFA) can cut off internet connections of target links by
employing legitimate flows to congest these without being detected. LFA is especially …
employing legitimate flows to congest these without being detected. LFA is especially …
Determining seeds with robust influential ability from multi-layer networks: A multi-factorial evolutionary approach
S Wang, X Tan - Knowledge-Based Systems, 2022 - Elsevier
There has been a great stream of literature in studying the dynamics of information diffusion
processes attached on networked systems. And the corresponding influential seeds …
processes attached on networked systems. And the corresponding influential seeds …
Knowledge-based prediction of network controllability robustness
Network controllability robustness (CR) reflects how well a networked system can maintain
its controllability against destructive attacks. Its measure is quantified by a sequence of …
its controllability against destructive attacks. Its measure is quantified by a sequence of …