Data Analytics and Decision Support for Cybersecurity Trends, Methodologies and Applications /

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 e...

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Corporate Author: SpringerLink (Online service)
Other Authors: Palomares Carrascosa, Iván. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kalutarage, Harsha Kumara. (Editor, http://id.loc.gov/vocabulary/relators/edt), Huang, Yan. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Data Analytics,
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-59439-2
Table of Contents:
  • A Toolset for Intrusion and Insider Threat Detection
  • Human-Machine Decision Support Systems for Insider Threat Detection
  • Detecting malicious collusions between mobile software applications
  • Dynamic Analysis of Malware using Run-Time Opcodes
  • Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models
  • Security of Online Examinations
  • Attribute Noise, Classification Technique, and Classification Accuracy
  • Learning from Loads: An Intelligent System for Decision Support in Identifying Nodal Load Disturbances of Cyber-Attacks in Smart Power Systems using Gaussian Processes and Fuzzy Inference
  • Visualization and Data Provenance Trends in Decision Support for Cybersecurity.