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...

Full description

Bibliographic Details
Other Authors: Palomares Carrascosa, Iván (Editor), Kalutarage, Harsha Kumara (Editor), Huang, Yan (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Data Analytics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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