Data Analytics

Data Analytics and Decision Support for Cybersecurity

Trends, Methodologies and Applications

Editors: Palomares Carrascosa, Iván, Kalutarage, Harsha Kumara, Huang, Yan (Eds.)

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  • Brings together and disseminates important lessons learned within a young, but surprisingly rapid field
  • Emphasizes the significant role of Data Science and Artificial Intelligence in overcoming crucial limitations and challenges in the IT security landscape
  • Bridges ideas and discussions from leading experts in academia and industry to align key directions of work that will further consolidate these fields
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eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-319-59439-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
Softcover 124,79 €
price for Spain (gross)
About this book

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception.

 This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring.

Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Reviews

“The book includes many illustrations, some of which are in color; I wish some of these were more readable. … The book provides a panoramic view of some emerging data analytics and decision support applications for cybersecurity.” (S. V. Nagaraj, Computing Reviews, august, 13, 2018)


Table of contents (9 chapters)

Table of contents (9 chapters)
  • A Toolset for Intrusion and Insider Threat Detection

    Pages 3-31

    Ring, Markus (et al.)

  • Human-Machine Decision Support Systems for Insider Threat Detection

    Pages 33-53

    Legg, Philip A.

  • Detecting Malicious Collusion Between Mobile Software Applications: The Android TM Case

    Pages 55-97

    Asăvoae, Irina Măriuca (et al.)

  • Dynamic Analysis of Malware Using Run-Time Opcodes

    Pages 99-125

    Carlin, Domhnall (et al.)

  • Big Data Analytics for Intrusion Detection System: Statistical Decision-Making Using Finite Dirichlet Mixture Models

    Pages 127-156

    Moustafa, Nour (et al.)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-319-59439-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
Softcover 124,79 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Data Analytics and Decision Support for Cybersecurity
Book Subtitle
Trends, Methodologies and Applications
Editors
  • Iván Palomares Carrascosa
  • Harsha Kumara Kalutarage
  • Yan Huang
Series Title
Data Analytics
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-59439-2
DOI
10.1007/978-3-319-59439-2
Hardcover ISBN
978-3-319-59438-5
Softcover ISBN
978-3-319-86624-6
Series ISSN
2520-1859
Edition Number
1
Number of Pages
XVI, 270
Number of Illustrations
31 b/w illustrations, 74 illustrations in colour
Topics