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Information Fusion for Cyber-Security Analytics 1st Edition by Izzat Alsmadi, George Karabatis, Ahmed Aleroud ISBN 3319442562 9783319442563

Name: Information Fusion for Cyber-Security Analytics 1st Edition by Izzat Alsmadi, George Karabatis, Ahmed Aleroud ISBN 3319442562 9783319442563
SKU: EB-16984
Availability: InStock

Original price was: $50.00.Current price is: $35.00.

Authors:Izzat M Alsmadi; George Karabatis; Ahmed Aleroud , Series:Cyber Security [160] , Tags:Technology & Engineering; Telecommunications; Electronics; Circuits; General; Computers; Security; Business & Economics; Industries; Computers & Information Technology; Electrical; Business Mathematics , Author sort:Alsmadi, Izzat M & Karabatis, George & Aleroud, Ahmed , Ids:Google; 9783319442570 , Languages:Languages:eng , Published:Published:Oct 2016 , Publisher:Springer , Comments:Comments: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.

SKU: EB-16984 Category: eBook PDF Tags: Ahmed Aleroud, Analytics 1st, Cyber Security, Fusion, George Karabatis, Information, Izzat Alsmadi

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Product details:

ISBN 10: 3319442562
ISBN 13: 978-3319442563
Author: Izzat M Alsmadi, George Karabatis, Ahmed Aleroud

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.

Information Fusion for Cyber-Security Analytics 1st Table of contents:

1. Using Contextual Information to Identify Cyber-Attacks

2. A Framework for Contextual Information Fusion to Detect Cyber-Attacks

3. Detecting Unknown Attacks Using Context Similarity

4. Unwanted Traffic Detection and Control Based on Trust Management

5. Characterization of Evolving Networks for Cybersecurity

6. Cybercrime: Concerns, Challenges and Opportunities

7. Intrusion Prediction Systems

8. Analytics for Network Security: A Survey and Taxonomy

9. Security in Wireless Sensor Networks (WSNs) and Their Applications

10. Emerging Trends in Security System Design Using the Concept of Social Behavioural Biometrics

11. Empirical Evidences in Software-Defined Network Security: A Systematic Literature Review

12. SDN-Based Real-Time IDS/IPS Alerting System

13. Digital Forensics: Implementation and Analysis for Google Android Framework

14. A Systematic Literature Review on Software-Defined Networking

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