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.
Mobile Platforms Security, Privacy, and Intrusion Detection: A Review of Intrusion Detection and Prevention on Mobile Devices: The Last Decade. Attacking Smartphone Security and Privacy. Reliable Ad Hoc Smartphone Application Creation for End Users. Android Applications Privacy Risk Assessment. From Fuzziness to Criminal Investigation: An Inference System for Mobile Forensics. Malware Detection in Mobile Platforms: Function-Based Malware Detection Technique for Android. Detecting Android Kernel Rootkits via JTAG Memory Introspection. Various Shades of Intrusion: An Analysis of Grayware, Adsware, Spyware and Other Borderline Android Apps. Data Leakage in Mobile Malware: The What, the Why, and the How. Mobile Network Security and Intrustion Detection: Analysis of Mobile Botnets Using a Hybrid Experimental Platform. Applying Low-cost Software Radio for Experimental Analysis of LTE Security, Protocol Exploits, and Location Leaks. A Comprehensive SMS-Based Intrusion Detection Framework. Intrusion Detection in Dynamic and Self-Organizing Networks: Intrusion Detection System in Self-Organizing Networks: A Survey. A Survey of Intrusion Detection Systems in Wireless Sensor Networks. Intrusion Detection and Tolerance for 6LoWPAN-based WSNs Using MMT. Security Concerns in Co-operative Intelligent Transportation Systems.