Cover image for Intelligent Systems for Security Informatics

Intelligent Systems for Security Informatics

Author Hui Wang , Xiaolong Zheng , Wenji Mao , Christopher C Yang
Release Date: 2013/01/01
ISBN: 9780124047020
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Book Description

The Intelligent Systems Series comprises titles that present state-of-the-art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.

The most prevalent topics in Intelligence and Security Informatics (ISI) include data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, cyber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, and information assurance, among others. This book covers the most active research work in recent years.



  • Pulls together key information on ensuring national security around the world
  • The latest research on this subject is concisely presented within the book, with several figures to support the text.
  • Will be of interest to attendees of The Intelligence and Security Informatics conference series, which include IEEE International Conference on Intelligence and Security Informatics (IEEE ISI)

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Series Page
  5. Copyright
  6. Preface
  7. Chapter 1. Revealing the Hidden World of the Dark Web: Social Media Forums and Videos
    1. 1.1 Introduction
    2. 1.2 The Dark Web Forum Portal
    3. 1.3 The Video Portal
    4. 1.4 Conclusion and Future Directions
    5. Acknowledgments
    6. References
  8. Chapter 2. Proactive Cyber Defense
    1. 2.1 Introduction
    2. 2.2 Proactive Filters
    3. 2.3 Early Warning
    4. 2.4 Concluding Remarks
    5. Acknowledgments
    6. References
  9. Chapter 3. Privacy-Preserving Social Network Integration, Analysis, and Mining
    1. 3.1 Social Network Analysis and Mining
    2. 3.2 Privacy Preservation
    3. 3.3 Information Integration and Privacy Preservation for SNAM
    4. 3.4 Conclusion
    5. References
  10. Chapter 4. A Digraph Model for Risk Identification and Management in SCADA Systems
    1. 4.1 Introduction
    2. 4.2 Background
    3. 4.3 A Digraph Model of SCADA Systems
    4. 4.4 Conclusions
    5. References
  11. Chapter 5. High-Level Architecture and Design of a Decision Engine for Marine Safety and Security
    1. 5.1 Introduction
    2. 5.2 Background
    3. 5.3 Conceptual Design
    4. 5.4 Formal Representation
    5. 5.5 Application
    6. 5.6 Conclusions and Future Work
    7. Acknowledgments
    8. References
  12. Chapter 6. Criminal Identity Resolution Using Personal and Social Identity Attributes: A Collective Resolution Approach
    1. 6.1 Introduction
    2. 6.2 Related Work
    3. 6.3 A Collective Identity Resolution Approach
    4. 6.4 Experiments
    5. 6.5 Concluding Remarks
    6. References
  13. Chapter 7. Al Qaeda Terrorist Financing
    1. 7.1 Importance of Cutting Terrorist Financing
    2. 7.2 Description of Al Qaeda’s Financial Network
    3. 7.3 History and Development of Al Qaeda and its Financial Network
    4. 7.4 Organizational Structure: Control Over Finances Within Al Qaeda
    5. 7.5 Al Qaeda’s Portfolio and Sources of “Revenues”
    6. 7.6 Methods of Transferring and Storing Funds
    7. References
  14. Chapter 8. Study on Covert Networks of Terrorists Based on Interactive Relationship Hypothesis
    1. 8.1 Introduction
    2. 8.2 Relevant Works
    3. 8.3 Initial Network Construction
    4. 8.4 Network Refinement Based on Interaction Relation Hypothesis
    5. 8.5 Relationship Network Refinement and Final Relationship Network of Terrorist Organizations and Incidents
    6. 8.6 Analysis and Verification
    7. 8.7 Conclusions
    8. Acknowledgments
    9. References
  15. Chapter 9. Incorporating Data and Methodologies for Knowledge Discovery for Crime
    1. 9.1 Introduction
    2. 9.2 Steps Involved in Crime Investigation
    3. 9.3 Data Sources for Crime Data Mining and Investigation
    4. 9.4 The Four Types of Knowledge Discovery
    5. 9.5 Knowledge Discovery Methodologies for Crime Data
    6. 9.6 Methodologies Applied to Knowledge Discovery Types
    7. 9.7 Conclusion
    8. References
  16. Index
18.116.29.139