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Intrusion Detection and Prevention for Mobile Ecosystems
Intrusion Detection and Prevention for Mobile Ecosystems

Detalls del llibre

Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Editors -- Contributors -- Introduction -- 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 -- Index
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  • Autors Georgios Kambourakis, Asaf Shabtai, Dimitrios Damopoulos, Constantinos Kolias
  • ISBN13 9781138033573
  • ISBN10 113803357X
  • Pàgines 544
  • Any Edició 2017
  • Fecha de publicación 06/09/2017
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Intrusion Detection and Prevention for Mobile Ecosystems

Intrusion Detection and Prevention for Mobile Ecosystems

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