Malware diffusion models for modern complex networks : theory and applications /

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Malware Diffusion Models for Wireless Complex Networks: Theory and Applications provides a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators. As the proliferation of portable devices, namely smartphones and tabl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Karyotis, Vasileios (Autor), Khouzani, M. H. R. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Morgan Kaufmann, [2016]
Temas:
Malware (Computer software)
Logiciels malveillants.
COMPUTERS / Security / Viruses & Malware
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Malware Diffusion Models for Modern Complex Networks; Copyright; Table of Contents; Preface; List of Figures; List of Tables; 1 MALWARE DIFFUSION MODELING FRAMEWORK; 1 Fundamentals of Complex Communications Networks; 1.1 Introduction to Communications Networks and Malicious Software; 1.2 A Brief History of Communications Networks and Malicious Software; 1.2.1 From Computer to Communications Networks; 1.2.2 The Emergence and Proliferation of Wireless Networks; 1.2.3 Malicious Software and the Internet; 1.3 Complex Networks and Network Science; 1.3.1 Complex Networks
  • 1.3.2 Network Science1.3.3 Network Graphs Primer; 2 Malware Diffusion in Wired and Wireless Complex Networks; 2.1 Diffusion Processes and Malware Diffusion; 2.1.1 General Diffusion Processes; 2.1.2 Diffusion of Malware in Communication Networks; 2.2 Types of Malware Outbreaks in Complex Networks; 2.3 Node Infection Models; 3 Early Malware Diffusion Modeling Methodologies; 3.1 Introduction; 3.2 Basic Epidemics Models; 3.2.1 Simple (Classical) Epidemic Model
  • SI Model; 3.2.2 General Epidemic Model: Kermack-McKendrick Model; 3.2.3 Two-factor Model; 3.2.4 Dynamic Quarantine
  • 3.3 Other Epidemics Models3.3.1 Epidemics Model in Scale-free Networks; 3.3.2 Generalized Epidemics-Endemics Models; 3.4 Miscellaneous Malware Modeling Models; 3.5 Scope and Achievements of Epidemics; 2 STATE-OF-THE-ART MALWARE MODELING FRAMEWORKS; 4 Queuing-based Malware Diffusion Modeling; 4.1 Introduction; 4.2 Malware Diffusion Behavior and Modeling via Queuing Techniques; 4.2.1 Basic Assumptions; 4.2.2 Mapping of Malware Diffusion to a Queuing Problem; 4.3 Malware Diffusion Modeling in Nondynamic Networks; 4.3.1 Evaluation Metrics; 4.3.2 Steady-state Behavior and Analysis
  • 4.4 Malware Diffusion Modeling in Dynamic Networks with Churn4.4.1 Malware Diffusion Models and Network Churn; 4.4.2 Open Queuing Network Theory for Modeling Malware Spreading in Complex Networks with Churn; 4.4.3 Analysis of Malware Propagation in Networks with Churn; 4.4.4 Demonstration of Queuing Framework for Malware Spreading in Complex and Wireless Networks; 5 Malware-Propagative Markov Random Fields; 5.1 Introduction; 5.2 Markov Random Fields Background; 5.2.1 Markov Random Fields; 5.2.2 Gibbs Distribution and Relation to MRFs; 5.2.3 Gibbs Sampling and Simulated Annealing
  • 5.3 Malware Diffusion Modeling Based on MRFs5.4 Regular Networks; 5.4.1 Chain Networks; 5.4.2 Regular Lattices: Finite and Infinite Grids; 5.5 Complex Networks with Stochastic Topologies; 5.5.1 Random Networks; 5.5.2 Small-world Networks; 5.5.3 Scale-free Networks; 5.5.4 Random Geometric Networks; 5.5.5 Comparison of Malware Diffusion in Complex Topologies; 6 Optimal Control Based Techniques; 6.1 Introduction; 6.2 Example
  • an Optimal Dynamic Attack: Seek and Destroy; 6.2.1 Dynamics of State Evolution; 6.2.2 Objective Functional; 6.3 Worm's Optimal Control

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