Studies in Computational Intelligence

Information Fusion for Cyber-Security Analytics

Editors: Alsmadi, Izzat M, Karabatis, George, Aleroud, Ahmed (Eds.)

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  • Helps readers understand how combining machine learning and reasoning techniques aids in creating attack prediction models with higher accuracy;
  • Provides information on utilizing several existing applications and tools to perform information fusion on machine learning tasks;
  • Presents readers with the tools to apply the learned knowledge daily cyber-security tasks.
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eBook $139.00
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  • ISBN 978-3-319-44257-0
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Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-44256-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
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  • ISBN 978-3-319-83023-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.

About the authors

Dr. Izzat Alsmadi is an Assistant Professor in the department of Computer Science at the University of New Haven. He has his master and PhD in Software Engineering from North Dakota State University. He has more than 100 conference and journal publications. His research interests include: Software security, software engineering, software testing, social networks and software defined networking.

Dr. George Karabatis is an Associate Professor of Information Systems and Associate Chair for Academic Affairs in the Department of Information Systems. He teaches undergraduate and graduate courses in semantic data integration, data management, data communications and networking, database applications, and mobile applications. He is one of the founding members of DINAMIC, a research group of IS faculty and students who pursue research in intelligent information discovery in various application domains. His research work has been published in peer-reviewed journals, conference proceedings and book chapters. He has been funded by NSF, USGS, MD Board of Elections, Northrop-Grumman and IGSR. He holds a Ph.D. in Computer Science from the University of Houston.

Dr. Ahmed AlEroud is an Assistant Professor of Computer Information Systems, at Yarmouk University in Jordan. He has recently joined UMBC as a Visiting Associate Research Scientist in the Department of Information Systems. Dr. AlEroud has received his PhD in Information Systems from the University of Maryland, Baltimore County (UMBC). His research appears in several cyber security and information systems conferences, such as the IEEE/ASE International conference in Cyber-Security, the IEEE conference on software Security and Reliability, and the International Conference on Semantic Computing.  He has served as a committee member and a reviewer in some conferences in several areas such as the first International Conference on Anti-Cybercrime (ICACC-2015) and the entropy Journal. p>

Table of contents (14 chapters)

  • Using Contextual Information to Identify Cyber-Attacks

    AlEroud, Ahmed (et al.)

    Pages 1-16

  • A Framework for Contextual Information Fusion to Detect Cyber-Attacks

    AlEroud, Ahmed (et al.)

    Pages 17-51

  • Detecting Unknown Attacks Using Context Similarity

    AlEroud, Ahmed (et al.)

    Pages 53-75

  • Unwanted Traffic Detection and Control Based on Trust Management

    Yan, Zheng (et al.)

    Pages 77-109

  • Characterization of Evolving Networks for Cybersecurity

    Namayanja, Josephine M. (et al.)

    Pages 111-127

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-44257-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-44256-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-319-83023-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Information Fusion for Cyber-Security Analytics
Editors
  • Izzat M Alsmadi
  • George Karabatis
  • Ahmed Aleroud
Series Title
Studies in Computational Intelligence
Series Volume
691
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-44257-0
DOI
10.1007/978-3-319-44257-0
Hardcover ISBN
978-3-319-44256-3
Softcover ISBN
978-3-319-83023-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 379
Number of Illustrations
24 b/w illustrations, 61 illustrations in colour
Topics