Robustness of a Network of Networks 1 Jianxi Gao,1,2 Sergey V. Buldyrev,3 Shlomo Havlin,4 and H. Eugene Stanley1 Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215 USA 2 Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan Road, ...
Network research has been focused on studying the properties of a single isolated network, which rarely exists. We develop a general analytical framework for studying percolation of n interdependent networks. We illustrate our analytical solutions for three examples: (i) For any tree of n fully dep...
DONG G,DU R,TIAN L,et al.Robustness of network of networks with interdependent and interconnected links [J].Physic A,2013,424:11-18.Gaogao, D.; Ruijin, D.; Lixin, T.; Runran, L. Robustness of network of networks with interdependent and interconnected links. Phys. A 2013, 424, 11-...
With the rise of neuromorphic hardware, it is even more critical to understand how a neural network, as a distributed system, tolerates the failures of its computing nodes, neurons, and its communication channels, synapses. Experimentally assessing the robustness of neural networks involves the ...
Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between distinct networks contains instability of abrupt collapse related to the global rule of activation. As a remedy of ...
Network-wide broadcast (NWB) is a common operation in mobile ad hoc networks (MANETs), which are used to discover routes in routing protocols and to disseminate information in group communication operations. NWB is commonly performed via flooding, which has been shown to be expensive in dense ...
This makes it difficult to apply neural networks in security-critical areas. Defensive distillation is a recently proposed approach that can take an arbitrary neural network, and increase its robustness, reducing the success rate of current attacks’ ability to find adversarial examples from 95% to ...
Robust networks can maintain their characteristics under perturbation, which is rooted in the different topology structure.However, previous study of the relationship between network robustness and topology structure is based on a static context. We study the effects of network topology on the network ...
Researchers have proposed many solutions to improve the robustness of these networks. However whilst many solutions preserve the degree distribution of the networks, little attention is paid to the community structure of these networks. We argue that the community structure of a network is a defining...
Modeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks The interest in diversity as a security mechanism has recently been revived in various applications, such as Moving Target Defense (MTD), resisting worms i... L Wang,M Zhang,S Jajodia,... - European ...