Intrusion Detection and Prevention for Mobile Ecosystems 1st Edition by Georgios Kambourakis 1315305813 9781315305813

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Product details:

ISBN-10 :  1315305813 

ISBN-13 : 9781315305813

Author:  Georgios Kambourakis 

This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks, services, and devices. It covers fundamental theory, techniques, applications, as well as practical experiences concerning intrusion detection and prevention for the mobile ecosystem. It also includes surveys, simulations, practical results and case studies.

Intrusion Detection and Prevention for Mobile Ecosystems 1st table of contents:

Section I: Mobile Platforms Security, Privacy, and Intrusion Detection
1. A Review of Intrusion Detection and Prevention on Mobile Devices: The Last Decade
2. Attacking Smartphone Security and Privacy
3. Reliable Ad Hoc Smartphone Application Creation for End Users
4. Android Applications Privacy Risk Assessment
5. From Fuzziness to Criminal Investigation: An Inference System for Mobile Forensics
Section II: Malware Detection in Mobile Platforms
6. Function-Based Malware Detection Technique for Android
7. Detecting Android Kernel Rootkits via JTAG Memory Introspection
8. Various Shades of Intrusion: An Analysis of Grayware, Adsware, Spyware, and Other Borderline Android Apps
9. Data Leakage in Mobile Malware: The What, the Why, and the How
Section III: Mobile Network Security and Intrusion Detection
10. Analysis of Mobile Botnets Using a Hybrid Experimental Platform
11. Applying Low-Cost Software Radio for Experimental Analysis of LTE Security, Protocol Exploits, and Location Leaks
12. A Comprehensive SMS-Based Intrusion Detection Framework
Section IV: Intrusion Detection in Dynamic and Self-Organizing Networks
13. Intrusion Detection System in Self-Organizing Networks: A Survey
14. A Survey of Intrusion Detection Systems in Wireless Sensor Networks
15. Intrusion Detection and Tolerance for 6LoWPAN-Based WSNs Using MMT
16. Security Concerns in Cooperative Intelligent Transportation Systems

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Tags: Intrusion Detection, Prevention, Mobile Ecosystems, Georgios Kambourakis