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Study on Efficient Complex Network Model [chapter]

Cheng Wang, Qing Zhang, Jianping Gan
2013 Lecture Notes in Electrical Engineering  
This paper summarizes the relevant research of the complex network systematically based on Statistical Property, Structural Model, and Dynamical Behavior.  ...  Moreover, it emphatically introduces the application of the complex network in the economic system.  ...  small-world model and scale-free network.  ... 
doi:10.1007/978-3-642-35398-7_20 fatcat:oifqdacg25apfdsparrfb7j6da

Virus propagation and patch distribution in multiplex networks: Modeling, analysis and optimal allocation

Dawei Zhao, Lianhai Wang, Zhen Wang, Gaoxi Xiao
2018 IEEE Transactions on Information Forensics and Security  
A novel network model that contains a central node and a multiplex network composed of patch dissemination network layer and virus propagation network layer is presented, and a competing spreading dynamical  ...  process on top of the network model that simulates the interplay between virus propagation and patch dissemination is developed.  ...  In recent years, the rapid developments of internet and the growing popularization of computing devices make it easier for viruses to produce a large-scale propagation and cause tremendous damages to human  ... 
doi:10.1109/tifs.2018.2885254 fatcat:lqgowssb2nedzpnbelyihnfody

Evolutionary Computation in Social Propagation over Complex Networks: A Survey

Tian-Fang Zhao, Wei-Neng Chen, Xin-Xin Ma, Xiao-Kun Wu
2021 International Journal of Automation and Computing  
Though there have been many models and optimization techniques, the matter of concern is that the increasing complexity and scales of propagation processes continuously refresh the former conclusions.  ...  Simulation and optimization are two major themes in social propagation, where network-based simulation helps to analyze and understand the social contagion, and problem-oriented optimization is devoted  ...  contagions, large-scale and distributed algorithm design, and realtime propagation optimization.  ... 
doi:10.1007/s11633-021-1302-3 fatcat:ga73oavapnfuxpnnb5azji4kze

Malware Propagation on Social Time Varying Networks: A Comparative Study of Machine Learning Frameworks

A.A. Ojugo, E. Ben Iwhiwhu, O. Kekeje, M.O. Yerokun, I.J.B. Iyawa
2014 International Journal of Modern Education and Computer Science  
This task of virus propagation is been a recurring subject, and design of complex models will yield modeling solutions used in a number of events not limited to and include propagation, dataflow, network  ...  Significant research into the logarithmic analysis of complex networks yields solution to help minimize virus spread and propagation over networks.  ...  At t+1, the model evolves for (all) nodes x,y,z in the network, and for each copies of virus planted at node x, virus is propagated to node y with probability .  ... 
doi:10.5815/ijmecs.2014.08.04 fatcat:2r5cvlznlrf45jsxyzwh7wqh3m

Toward a stability monitoring system of an asset-communications network exposed to malicious attacks

N. Lechevin, C. A. Rabbath, P. Maupin
2011 Proceedings of the 2011 American Control Conference  
The state of the communications network, which is potentially affected by the propagation of viruses, could be modeled with a Markov chain.  ...  The network of assets is subject to disturbances resulting from the prevalence and propagation of viruses through a communications network (CN), which is connected to the assets.  ...  The model of the two-layered network and the analysis objectives are presented in Section II. The stability conditions used by such system are derived in Section III.  ... 
doi:10.1109/acc.2011.5991342 fatcat:keztuyuz2bg7zgduht3hk5vzta

Emergent behavior in large scale networks

Augusto Santos, Jose M. F. Moura
2011 IEEE Conference on Decision and Control and European Control Conference  
We apply mean field asymptotic analysis to explain the emergence of global behavior in large scale networks.  ...  We consider multiple classes of viruses, each type bearing their own statistical characterization -exogenous contamination, contagious propagation, and healing.  ...  INTRODUCTION This paper considers the emergence of global behaviors in large scale networks from the microscopic interactions of the networked agents.  ... 
doi:10.1109/cdc.2011.6161398 dblp:conf/cdc/SantosM11 fatcat:72coih3y2zexxhofyqhkg25a3a

Dynamical Analysis and Optimal Control for a SEIR Model Based on Virus Mutation in WSNs

Guiyun Liu, Jieyong Chen, Zhongwei Liang, Zhimin Peng, Junqiang Li
2021 Mathematics  
In this paper, based on the principle of epidemic dynamics, we build a SEIR propagation model with the mutated virus in WSNs, where E nodes are infectious and cannot be repaired to S nodes or R nodes.  ...  The simulation results show that the model has a guiding significance to curb the spread of mutated virus in WSNs.  ...  ., Z.P. and J.L.; methodology, G.L., J.C., Z.P. and J.L.; software, G.L., J.C. and J.L.; validation, G.L. and J.C.; formal analysis, G.L. and J.C.; investigation, G.L., J.C. and Z.L.; writing-original  ... 
doi:10.3390/math9090929 doaj:4e657e883e45484a97271ee53c2d4d18 fatcat:khd472qyp5htbolo3ds6ziczwm

The Impact of Countermeasure Propagation on the Prevalence of Computer Viruses

L.-C. Chen, K.M. Carley
2004 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
CMC is based on the idea that computer viruses and countermeasures spread through two separate but interlinked complex networks-the virus-spreading network and the countermeasure-propagation network, in  ...  The proposed CMC reduces the size of virus infection significantly when the countermeasure-propagation network has properties that favor countermeasures over viruses, or when the countermeasure-propagation  ...  Model for CMC We define the virus-spreading network as the network for spreading viruses, and the countermeasure-propagation network as the network for spreading countermeasures.  ... 
doi:10.1109/tsmcb.2003.817098 pmid:15376832 fatcat:46ej2mkhdvclzcfsxjtkgsanai

Group-Based Susceptible-Infectious-Susceptible Model in Large-Scale Directed Networks

Xu Wang, Bo Song, Wei Ni, Ren Ping Liu, Y. Jay Guo, Xinxin Niu, Kangfeng Zheng
2019 Security and Communication Networks  
The epidemic threshold is proved to be dependent on network structure and interdependent of the network scale.  ...  This paper proposes to group vertices in directed graphs based on connectivity and carries out epidemic spread analysis on the group basis, thereby substantially reducing the modeling complexity while  ...  Introduction Epidemic models have been widely used to analyze sophisticated interactions in networks, e.g., virus attack and propagation in computer networks [1, 2] , rumor spreading in social networks  ... 
doi:10.1155/2019/1657164 fatcat:dhttaref6jedtaqz2b4vwuhqc4

Competing memes propagation on networks

Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, Christos Faloutsos
2012 Computer communication review  
We study the intertwined propagation of two competing "memes" (or viruses, rumors, products etc.) in a composite network.  ...  Each meme spreads across the composite network in accordance to an SIS-like propagation model (a flu-like infection-recovery).  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory  ... 
doi:10.1145/2378956.2378958 fatcat:ngljtdi3ffftdhc7bzutdsem3y

Node Exchange Network and its Statistical Analysis [article]

Norihito Toyota
2005 arXiv   pre-print
Lastly we consider a propagation of one virus on the network by a computer simulation. They are compared to other networks investigated hitherto.  ...  The relation to a scale free network is also discussed.  ...  This behaviour, however, only appears in the large n and so we introduce more handy model with the same properties essentially as random networks.  ... 
arXiv:physics/0508192v1 fatcat:h7jtwlnopvh2rglaqcbb2m5bpq

Markov-Based Malware Propagation Modeling and Analysis in Multi-Layer Networks

Stavros Karageorgiou, Vasileios Karyotis
2022 Network  
We utilize a stochastic modeling framework based on Markov Random Fields for analyzing the propagation dynamics of malware over such networks.  ...  As cyber-physical systems and multi-layer networks in general are gaining in popularity and penetration, more targeted studies are needed.  ...  Boguñá et al. studied the epidemic spread in complex networks [34] , and Wang et al. proposed a model for virus propagation in arbitrary topologies [35] .  ... 
doi:10.3390/network2030028 fatcat:id4nh4fzxjdtba54my2tptxsfa

A Novel Network Survivability Analysis and Evaluation Model

Chun Lei Wang, Dong Xia Wang, Qing Miao, Liang Ming, Lan Fang, Yi Qi Dai
2013 Applied Mechanics and Materials  
Finally, the proposed network survivability analysis and evaluation model is experimented in a typical network environment and the correctness and effectiveness of the model is validated through experimental  ...  Network survivability analysis and evaluation is a process of analyzing and quantifying the degree to which network system can survive in network threats.  ...  This modeling method is static and problem specific, however it is difficult for modeling large-scale network systems and the analysis techniques of the model are also very complicated and hard to understand  ... 
doi:10.4028/www.scientific.net/amm.347-350.2082 fatcat:hv2dvjtsqzf2fihffszlhqrgwm

Information Propagation In Online Social Networks - A Simulation Case Study [article]

Damian Frąszczak
2022 figshare.com  
These conditions make it easy to spread information from one user to another in close neighbourhoods and around the whole social network located in the given platform.  ...  The paper presents the simulation studies around the rumor spread process via thevaried range of the networks topologies, information spread strategies and aspects taking part in this process to find relationships  ...  Innovation Management and Sustainable Economic Development in the Era of Global Pandemic Propagation Models Information propagation in real online social networks can propagate in various ways.  ... 
doi:10.6084/m9.figshare.18974987.v1 fatcat:cwpk52smqngepaam56yjvrd5ki

Malware Propagation in Large-Scale Networks

Shui Yu, Guofei Gu, Ahmed Barnawi, Song Guo, Ivan Stojmenovic
2015 IEEE Transactions on Knowledge and Data Engineering  
We formulate the problem, and establish a rigorous two layer epidemic model for malware propagation from network to network.  ...  In this paper, we investigate how malware propagates in networks from a global perspective.  ...  .: MALWARE PROPAGATION IN LARGE-SCALE NETWORKS  ... 
doi:10.1109/tkde.2014.2320725 fatcat:ykcnv4qdxfd3hez2x6wi75tdbm
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