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Malware Diffusion Models for Modern Complex Networks

Book Description

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 tablets, and their increased capabilities, has propelled the intensity of malware spreading and increased its consequences in social life and the global economy, this book provides the theoretical aspect of malware dissemination, also presenting modeling approaches that describe the behavior and dynamics of malware diffusion in various types of wireless complex networks.

Sections include a systematic introduction to malware diffusion processes in computer and communications networks, an analysis of the latest state-of-the-art malware diffusion modeling frameworks, such as queuing-based techniques, calculus of variations based techniques, and game theory based techniques, also demonstrating how the methodologies can be used for modeling in more general applications and practical scenarios.

  • Presents a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators
  • Systematically introduces malware diffusion processes, providing the relevant mathematical background
  • Discusses malware modeling frameworks and how to apply them to complex wireless networks
  • Provides guidelines and directions for extending the corresponding theories in other application domains, demonstrating such possibility by using application models in information dissemination scenarios

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. List of Figures
  7. List of Tables
  8. Part 1. Malware diffusion modeling framework
    1. Chapter 1. Fundamentals of complex communications networks
      1. 1.1. Introduction to Communications Networks and Malicious Software
      2. 1.2. A Brief History of Communications Networks and Malicious Software
      3. 1.3. Complex Networks and Network Science
    2. Chapter 2. Malware diffusion in wired and wireless complex networks
      1. 2.1. Diffusion Processes and Malware Diffusion
      2. 2.2. Types of Malware Outbreaks in Complex Networks
      3. 2.3. Node Infection Models
    3. Chapter 3. Early malware diffusion modeling methodologies
      1. 3.1. Introduction
      2. 3.2. Basic Epidemics Models
      3. 3.3. Other Epidemics Models
      4. 3.4. Miscellaneous Malware Modeling Models
      5. 3.5. Scope and Achievements of Epidemics
  9. Part 2. State-of-the-art malware modeling frameworks
    1. Chapter 4. Queuing-based malware diffusion modeling
      1. 4.1. Introduction
      2. 4.2. Malware Diffusion Behavior and Modeling via Queuing Techniques
      3. 4.3. Malware Diffusion Modeling in Nondynamic Networks
      4. 4.4. Malware Diffusion Modeling in Dynamic Networks with Churn
    2. Chapter 5. Malware-propagative Markov random fields
      1. 5.1. Introduction
      2. 5.2. MRFs Background
      3. 5.3. Malware Diffusion Modeling Based on MRFs
      4. 5.4. Regular Networks
      5. 5.5. Complex Networks with Stochastic Topologies
    3. Chapter 6. Optimal control based techniques
      1. 6.1. Introduction
      2. 6.2. Example—an Optimal Dynamic Attack: Seek and Destroy
      3. 6.3. Worm’s Optimal Control
      4. SUMMARY
    4. Chapter 7. Game-theoretic techniques
      1. 7.1. Introduction
      2. 7.2. System Model
      3. 7.3. Network-Malware Dynamic Game
      4. SUMMARY
    5. Chapter 8. Qualitative comparison
      1. 8.1. Introduction
      2. 8.2. Computational Complexity Comparison
      3. 8.3. Implementation Efficiency Comparison
      4. 8.4. Sensitivity Comparison
      5. 8.5. Practical Value Comparison
      6. 8.6. Modeling Differences
      7. 8.7. Overall Comparison
  10. Part 3. Applications and the road ahead
    1. Chapter 9. Applications of state-of-the-art malware modeling frameworks
      1. 9.1. Network Robustness
      2. 9.2. Dynamics of Information Dissemination
      3. 9.3. Malicious-information Propagation Modeling
    2. Chapter 10. The road ahead
      1. 10.1. Introduction
      2. 10.2. Open Problems for Queuing-based Approaches
      3. 10.3. Open Problems for MRF-based Approaches
      4. 10.4. Optimal Control and Dynamic Game Frameworks
      5. 10.5. Open Problems for Applications of Malware Diffusion Modeling Frameworks
      6. 10.6. General Directions for Future Work
    3. Chapter 11. Conclusions
      1. 11.1. Lessons Learned
      2. 11.2. Final Conclusions
  11. Part 4. Appendices
    1. Appendix A. Systems of ordinary differential equations
      1. A.1. Initial Definitions
      2. A.2. First-order Differential Equations
      3. A.3. Existence and Uniqueness of a Solution
      4. A.4. Linear Ordinary Differential Equations
      5. A.5. Stability
    2. Appendix B. Elements of queuing theory and queuing networks
      1. B.1. Introduction
      2. B.2. Basic Queuing Systems, Notation, and Little’s Law
      3. B.3. Markovian Systems in Equilibrium
      4. B.4. Reversibility
      5. B.5. Queues in Tandem
      6. B.6. Queuing Networks
    3. Appendix C. Optimal control theory and Hamiltonians
      1. C.1. Basic Definitions, State Equation Representations, and Basic Types of Optimal Control Problems
      2. C.2. Calculus of Variations
      3. C.3. Finding Trajectories that Minimize Performance Measures
      4. C.4. Variational Approach for Optimal Control Problems
      5. C.5. Numerical Determination of Optimal Trajectories
      6. C.6. Relationship Between Dynamic Programming (DP) and Minimum Principle
  12. References
  13. Author Index
  14. Index