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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Other Authors: | , , |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Edition: | 1st ed. 2017. |
Series: | Data Analytics,
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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.