Select an Action
Information Fusion for Cyber-Security Analytics
Title:
Information Fusion for Cyber-Security Analytics
Author:
Alsmadi, Izzat M. editor.
ISBN:
9783319442570
Physical Description:
X, 379 p. 85 illus., 61 illus. in color. online resource.
Series:
Studies in Computational Intelligence, 691
Contents:
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.
Abstract:
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 fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers. .
Added Corporate Author:
Electronic Access:
http://dx.doi.org/10.1007/978-3-319-44257-0Available:*
Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| TK1 -9971 | 480528-1001 | SPRINGER | Searching... |
On Order
Select a list
Make this your default list.
The following items were successfully added.
There was an error while adding the following items. Please try again.
:
Select An Item
Data usage warning: You will receive one text message for each title you selected.
Standard text messaging rates apply.