E. Ben-Iwhiwhu

Work place: Department of Mathematics/Computer Science, Federal University of Petroleum Resources Effurun, Nigeria

E-mail: askofbenese@hotmail.com


Research Interests: Computer systems and computational processes, Artificial Intelligence, Robotics, Data Structures and Algorithms


Ben-Iwhiwhu, Eseoghene received BSc from Federal University of Petroleum Resources, Effurun in 2012 in Computer Science. He his currently a graduate assistant with the Department of Mathematics/Computer Science at Federal University of Petroleum Resources, Effurun, Delta State, Nigeria. His research Interests include artificial intelligenece and robotics.

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

By A.A. Ojugo E. Ben-Iwhiwhu O. Kekeje M.O. Yerokun I.J.B. Iyawa

DOI: https://doi.org/10.5815/ijmecs.2014.08.04, Pub. Date: 8 Aug. 2014

Significant research into the logarithmic analysis of complex networks yields solution to help minimize virus spread and propagation over networks. 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 immunization, resource management, service distribution, adoption of viral marketing etc. Stochastic models are successfully used to predict the virus propagation processes and its effects on networks. The study employs SI-models for independent cascade and the dynamic models with Enron dataset (of e-mail addresses) and presents comparative result using varied machine models. Study samples 25,000 emails of Enron dataset with Entropy and Information Gain computed to address issues of blocking targeting and extent of virus spread on graphs. Study addressed the problem of the expected spread immunization and the expected epidemic spread minimization; but not the epidemic threshold (for space constraint).

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