If you are a software engineer or reverse engineer and want to learn more about Linux binary analysis, this book will provide you with all you need to implement solutions for binary analysis in areas of security, forensics, and antivirus. This book is great for both security enthusiasts and system level engineers. Some experience with the C programming language and the Linux command line is assumed.

Binary analysis is the process of examining a binary program to determine information security actions. It is a complex, constantly evolving, and challenging topic that crosses over into several domains of information technology and security. This binary analysis book is designed to help you get started with the basics, before gradually advancing to challenging topics. Using a recipe-based approach, this book guides you through building a lab of virtual machines and installing tools to analyze binaries effectively. You'll begin by learning about the IA32 and ELF32 as well as IA64 and ELF64 specifications. The book will then guide you in developing a methodology and exploring a variety of tools for Linux binary analysis. As you advance, you'll learn how to analyze malicious 32-bit and 64-bit binaries and identify vulnerabilities. You'll even examine obfuscation and anti-analysis techniques, analyze polymorphed malicious binaries, and get a high-level overview of dynamic taint analysis and binary instrumentation concepts. By the end of the book, you'll have gained comprehensive insights into binary analysis concepts and have developed the foundational skills to confidently delve into the realm of binary analysis.

This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis.This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.

An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such ...(展开全部)

Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions. The topics treated in this v...(展开全部)

Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest. Author Aileen Nielsen also off...(展开全部)

If you use Linux in development or operations and need a structured approach to help you dive deeper, this book is for you. Author Michael Hausenblas also provides tips and tricks for improving your workflow with this open source operating system. Whether you're a developer, software architect, or site reliability engineer, this hands-on guide focuses on ways to use Linux for y...(展开全部)

Significantly revised and expanded, this new Second Edition provides readers at all levels---from beginning students to practicing analysts---with the basic concepts and standard tools necessary to solve problems of analysis, and how to apply these concepts to research in a variety of areas. Authors Elliott Lieb and Michael Loss take you quickly from basic topics to methods tha...(展开全部)

《Linux\Unix设计思想/图灵程序设计丛书》内容简介：将Linux的开发方式与Unix的原理有效地结合起来，总结出Linux与Unix软件开发中的设计原则。《Linux\Unix设计思想/图灵程序设计丛书》前8章分别介绍了Linux与Unix中9条基本的哲学准则和10条次要准则。第9章和第10章将Unix系统的设计思想与其他系统的设计思想进行了对比。最后介绍了Unix哲学准则在其他领域中的应用。

《linux/unix系统编程手册(上、下册)》是介绍linux与unix编程接口的权威著作。linux编程资深专家michael kerrisk在书中详细描述了linux/unix系统编程所涉及的系统调用和库函数，并辅之以全面而清晰的代码示例。《linux/unix系统编程手册(上、下册)》涵盖了逾500个系统调用及库函数，并给出逾200个程序示例，另含88张表格和115幅示意图。 《linux/unix系统编程手册(上、下册)》总共分为64章，主要讲解了高效读写文件，对信号、时钟和定时器的运用，创建进程、执行程序，编写安全的应用程序，运用posix线程技术编写多线程程序，创建和使用共享库，运用管道、消息队列、共享内存和信号量技术来进行进程间通信，以及运用套接字api编写网络应用等内容。 《linux/unix系统编程手册(上、下册)》在汇聚大批 ...(展开全部)