Malware Diffusion Models for Modern Complex Networks: Theory and Applications

Author:   Vasileios Karyotis (School of Electrical and Computer Engineering, National Technical University of Athens, Greece) ,  M.H.R. Khouzani (School of Electronic Engineering and Computer Science, Queen Mary University of London, U.K.)
Publisher:   Elsevier Science & Technology
ISBN:  

9780128027141


Pages:   324
Publication Date:   03 February 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Malware Diffusion Models for Modern Complex Networks: Theory and Applications


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Author:   Vasileios Karyotis (School of Electrical and Computer Engineering, National Technical University of Athens, Greece) ,  M.H.R. Khouzani (School of Electronic Engineering and Computer Science, Queen Mary University of London, U.K.)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Dimensions:   Width: 19.10cm , Height: 1.50cm , Length: 23.40cm
Weight:   0.680kg
ISBN:  

9780128027141


ISBN 10:   0128027142
Pages:   324
Publication Date:   03 February 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part 1. Malware diffusion modeling framework Chapter 1. Fundamentals of complex communications networks Chapter 2. Malware diffusion in wired and wireless complex networks Chapter 3. Early malware diffusion modeling methodologies Part 2. State-of-the-art malware modeling frameworks Chapter 4. Queuing-based malware diffusion modeling Chapter 5. Malware-propagative Markov random fields Chapter 6. Optimal control based techniques Chapter 7. Game-theoretic techniques Chapter 8. Qualitative comparison Part 3. Applications and the road ahead Chapter 9. Applications of state-of-the-art malware modeling frameworks Chapter 10. The road ahead Chapter 11. Conclusions Part 4. Appendices Appendix A. Systems of ordinary differential equations Appendix B. Elements of queuing theory and queuing networks Appendix C. Optimal control theory and Hamiltonians

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"Vasileios Karyotis received his Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece, in June 2004, his M.Sc. degree in Electrical Engineering from the University of Pennsylvania, PA, USA, in August 2005 and his Ph.D. in Electrical and Computer Engineering from NTUA, Greece, in June 2009. Since July 2009 he is with the Network Management andOptimal Design (NETMODE) Lab of NTUA, Greece, where he is currently a senior researcher. Dr. Karyotis was awarded a fellowship from the Department of Electrical and Systems Engineering of the University of Pennsylvania (2004-2005) and one of two departmental fellowships for exceptional graduate students from the School of Electrical and Computer Engineering of NTUA (2007-2009). His research interests span the areas of stochastic modeling and performance evaluation of communications networks, resource allocation, malware propagation and network science. He has given various tutorial presentations in conferences, workshops and seminars, and he has been a TPC co-chair of the 2014 IEEE INFOCOM workshop on Dynamic Social Networks (DySON) and the 2015 IEEE ICC workshop on Dynamic Social Networks (DySON). He is a member of the Technical Chamber of Greece since 2004, and a member of the IEEE since 2003. He has participated in various R&D projects funded by the EC (FP6, FP7), the European Space Agency (ESA), and the Greek General Secretariat for Research and Technology (GSRT). MHR. Khouzani received a B.Sc. degree in Electrical Engineering from Sharif University of Technology in 2006. He subsequently joined the University of Pennsylvania (UPenn) with a fellowship award. He received his Ph.D. in Electrical and Systems Engineering in 2011 with the best dissertation award among his graduation class. He has since held postdoctoral research positions with the Ohio State University (OSU), the University of Southern California (USC), Royal Holloway, University of London (RHUL), and most recently, Queen Mary, University of London (QMUL). Dr. Khouzani's research is in the area of communication networks and cyber-security. He uses diverse analytical tools from areas such as probability, statistics, control theory, optimization, and decision and game theory, to contribute to the emerging field of the ""science of security""."

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