Information Fusion for Cyber-Security Analytics
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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Σειρά: | Studies in Computational Intelligence,
691 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Part 1: Information Fusion for Cyber-Security Analytics
- Activity Information Fusion for Security Analytics
- Location Information Fusion for Security Analytics
- Time Information Fusion for Security Analytics
- Individuality Information Fusion for Security Analytics
- Relation Information Fusion for Security Analytics
- Part 2: Trends in Using Information Fusion Techniques to Discover Cyber Threats
- Big Data Fusion for Predicting Network Threats
- Using Software Defined Networks for Cyber Threat Discovery
- Privacy Preserving Information Fusion for Analyzing Network Data
- Using Information Fusion to Discover Zero-Day Attacks
- Enhancing Social Network Privacy and Security Using Graph-based Data Fusion
- Using Information Fusion to discover Cyber-threats in Wireless Sensor Networks
- Information Fusion for Improving Privacy and Security in Healthcare Applications
- Predicting Social Engineering Attacks Using Information Fusion Techniques
- Part 3: Applications and tools. -Information Fusion Application and Tools for Cyber Security Analytics
- Conclusion.
