Agent-based Modeling and Simulation of Virus on a Scale-Free Network

Predicting epidemics spread in networks is an important agent-based modeling application. It helps in making better policies to protect the networks. Scale free networks are built as an outcome of the process of preferential attachment. This process enables each newly joining node to establish links preferably with existing well connected nodes. Resultant network consists of a few higher degree nodes, and a large number of lower degree nodes. Degree distribution is one of the key factors affecting the virus propagation in networks and removal afterwards. Topological structure of scale-free networks brings new avenues of analyzing the spread and mitigation of computer viruses within them. We have created an agent-based model of virus spread on a technological scale-free network.

[1]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[2]  Aslam Muhammad,et al.  Big-data: transformation from heterogeneous data to semantically-enriched simplified data , 2015, Multimedia Tools and Applications.

[3]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[4]  A. Barabasi,et al.  Halting viruses in scale-free networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Albert-László Barabási,et al.  Scale-free networks , 2008, Scholarpedia.

[6]  Rehan Ashraf,et al.  Content-based Image Retrieval by Exploring Bandletized Regions through Support Vector Machines , 2016, J. Inf. Sci. Eng..

[7]  Evgenia Avdeeva,et al.  Epidemic spread in scale-free networks , 2009 .

[8]  Zahid Ullah,et al.  Analytical Study on Performance, Challenges and Future Considerations of Google File System , 2014 .

[9]  Rehan Ashraf,et al.  Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions , 2015, Entropy.

[10]  Charles M. Macal,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[11]  Awais Ahmad,et al.  Smartbuddy: defining human behaviors using big data analytics in social internet of things , 2016, IEEE Wireless Communications.

[12]  Mudassar Ahmad,et al.  Congestion control in multi channel 802.11b and 802.11g wireless networks , 2012 .

[13]  U. Netlogo Wilensky,et al.  Center for Connected Learning and Computer-Based Modeling , 1999 .

[14]  Asri Ngadi,et al.  A Scheduling Approach to Achieve Green Cloud Solution Based on Internet of Things , 2013, BIOINFORMATICS 2013.

[15]  Mohd Murtadha Mohamad,et al.  Experimental evaluation of TCP congestion control mechanisms in short and long distance networks , 2015 .