Big Red Lollipop Value Stk

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Embedded Android

Author: Karim Yaghmour
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2013-03-12
Looking to port Android to other platforms such as embedded devices? This hands-on book shows you how Android works and how you can adapt it to fit your needs. You’ll delve into Android’s architecture and learn how to navigate its source code, modify its various components, and create your own version of Android for your particular device. You’ll also discover how Android differs from its Linux roots. If you’re experienced with embedded systems development and have a good handle on Linux, this book helps you mold Android to hardware platforms other than mobile devices. Learn about Android’s development model and the hardware you need to run it Get a quick primer on Android internals, including the Linux kernel and Dalvik virtual machine Set up and explore the AOSP without hardware, using a functional emulator image Understand Android’s non-recursive build system, and learn how to make your own modifications Use evaluation boards to prototype your embedded Android system Examine the native user-space, including the root filesystem layout, the adb tool, and Android’s command line Discover how to interact with—and customize—the Android Framework
Binary Code Fingerprinting for Cybersecurity

This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.