Stop manually analyzing binary! Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics, such as binary instrumentation, dynamic taint analysis, and symbolic execution, in an accessible way. As malware increasingly obfuscates itself and applies anti-analysis techniques to thwart our analysis, we need more sophisticated methods that allow us to raise that dark curtain designed to keep us out--binary analysis can help. The goal of all binary analysis is to determine (and possibly modify) the true properties of binary programs to understand what they really do, rather than what we think they should do. While reverse engineering and disassembly are critical first steps in many forms of binary analysis, there is much more to be learned. This hands-on guide teaches you how to tackle the fascinating but challenging topics of binary analysis and instrumentation and helps you become proficient in an area typically only mastered by a small group of expert hackers. It will take you from basic concepts to state-of-the-art methods as you dig into topics like code injection, disassembly, dynamic taint analysis, and binary instrumentation. Written for security engineers, hackers, and those with a basic working knowledge of C/C++ and x86-64, Practical Binary Analysis will teach you in-depth how binary programs work and help you acquire the tools and techniques needed to gain more control and insight into binary programs. Once you´ve completed an introduction to basic binary formats, you´ll learn how to analyze binaries using techniques like the GNU/Linux binary analysis toolchain, disassembly, and code injection. You´ll then go on to implement profiling tools with Pin and learn how to build your own dynamic taint analysis tools with libdft and symbolic execution tools using Triton. You´ll learn how to: - Parse ELF and PE binaries and build a binary loader with libbfd - Use data-flow analysis techniques like program tracing, slicing, and reaching definitions analysis to reason about runtime flow of your programs - Modify ELF binaries with techniques like parasitic code injection and hex editing - Build custom disassembly tools with Capstone - Use binary instrumentation to circumvent anti-analysis tricks commonly used by malware - Apply taint analysis to detect control hijacking and data leak attacks - Use symbolic execution to build automatic exploitation tools With exercises at the end of each chapter to help solidify your skills, you´ll go from understanding basic assembly to performing some of the most sophisticated binary analysis and instrumentation. Practical Binary Analysis gives you what you need to work effectively with binary programs and transform your knowledge from basic understanding to expert-level proficiency.
Die optimale Prüfungsvorbereitung anhand 100 Aufgaben zur Technischen Informatik mit ausführlicher Lösung. Zu jedem Kapitel wird eine Einleitung mit Link auf die Videoaufzeichnung einer zugehörigen Vorlesung am Karlsruher Institut für Technologie gegeben. Außerdem können in einem Forum Fragen und Probleme zu allen Aufgaben diskutiert werden. Behandelt werden die Themen: Schaltnetze und Schaltwerke, Complementary Metal Oxide Semiconductor (CMOS), Binary Decision Diagram (BDD), Zahlendarstellung, Kodierung und Fehlererkennung, Verschlüsselung, Rechnerarchitektur, Programmierung, Assembler, Betriebssysteme, Dateiorganisation und weitere.
This highly comprehensive handbook provides a substantial advance in the computation of elementary and special functions of mathematics, extending the function coverage of major programming languages well beyond their international standards, including full support for decimal floating-point arithmetic. Written with clarity and focusing on the C language, the work pays extensive attention to little-understood aspects of floating-point and integer arithmetic, and to software portability, as well as to important historical architectures. It extends support to a future 256-bit, floating-point format offering 70 decimal digits of precision. Select Topics and Features: references an exceptionally useful, author-maintained MathCW website, containing source code for the book´s software, compiled libraries for numerous systems, pre-built C compilers, and other related materials; offers a unique approach to covering mathematical-function computation using decimal arithmetic; provides extremely versatile appendices for interfaces to numerous other languages: Ada, C#, C++, Fortran, Java, and Pascal; presupposes only basic familiarity with computer programming in a common language, as well as early level algebra; supplies a library that readily adapts for existing scripting languages, with minimal effort; supports both binary and decimal arithmetic, in up to 10 different floating-point formats; covers a significant portion (with highly accurate implementations) of the U.S National Institute of Standards and Technology´s 10-year project to codify mathematical functions. This highly practical text/reference is an invaluable tool for advanced undergraduates, recording many lessons of the intermingled history of computer hardw are and software, numerical algorithms, and mathematics. In addition, professional numerical analysts and others will find the handbook of real interest and utility because it builds on research by the mathematical software community over the last four decades.
This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many ´´folklore´´ algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.
Use the solutions provided in this book to handle common challenges in Xamarin.Forms that are encountered on a daily basis. Working examples and techniques are presented that you can modify and drop directly into your own projects. You will be able to deliver working code faster than ever. Examples are made available through GitHub, maximizing the convenience and value this book provides to Xamarin.Forms developers. Solutions in the book are organized broadly into problem domains such as user interface for applications, data and security, connectivity and external services, and more. Within each domain the book presents specific solutions addressing challenges that are commonly faced. Under data and security, for example, you´ll find specific solutions around storing login credentials, local data caching, and sending authorization tokens in HTTP requests. Not only do the solutions in the book solve specific problems, they also present best practices that can inform and improve the quality of the code that you write. Xamarin.Forms Solutions is chock full of practical advice and code examples that no Xamarin.Forms programmer will want to be without. The basics of Xamarin.Forms are provided for beginning developers. What You´ll Learn Know the in-depth basics of Xamarin.Forms and the inner workings Create custom renderers and dependency services Manage the appearance of user interfaces through styling and theming, layout options, rotation, and animation Build sophisticated user interfaces using a variety of controls that allow for PDF viewing, barcode interpretation, searching and finding, and other controls Secure your applications, and communicate securely with services via HTTP requests Sign and deploy your apps and optimize the binary file size Who This Book Is For Those building mobile applications on the Xamarin platform for iOS and Android. By mixing together the solutions and a thorough explanation of the basics of Xamarin.Forms, the book spans the needs of beginning through intermediate Xamarin.Forms developers. Even experts will find a few gems to improve the quality and speed of their application development work.
In Hacker?s Delight, Second Edition , Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren?s hacks are eminently practical, but they?re also intrinsically interesting, and sometimes unexpected, much like the solution to a great puzzle. They are, in a word, a delight to any programmer who is excited by the opportunity to improve. Extensive additions in this edition include A new chapter on cyclic redundancy checking (CRC), including routines for the commonly used CRC-32 code A new chapter on error correcting codes (ECC), including routines for the Hamming code More coverage of integer division by constants, including methods using only shifts and adds Computing remainders without computing a quotient More coverage of population count and counting leading zeros Array population count New algorithms for compress and expand An LRU algorithm Floating-point to/from integer conversions Approximate floating-point reciprocal square root routine A gallery of graphs of discrete functions Now with exercises and answers Product Description In Hacker?s Delight, Second Edition , Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren?s hacks are eminently practical, but they?re also intrinsically interesting, and sometimes unexpected, much like the solution to a great puzzle. They are, in a word, a delight to any programmer who is excited by the opportunity to improve. Extensive additions in this edition include A new chapter on cyclic redundancy checking (CRC), including routines for the commonly used CRC-32 code A new chapter on error correcting codes (ECC), including routines for the Hamming code More coverage of integer division by constants, including methods using only shifts and adds Computing remainders without computing a quotient More coverage of population count and counting leading zeros Array population count New algorithms for compress and expand An LRU algorithm Floating-point to/from integer conversions Approximate floating-point reciprocal square root routine A gallery of graphs of discrete functions Now with exercises and answers Foreword xiii Preface xv Chapter 1: Introduction 1 1.1 Notation 1 1.2 Instruction Set and Execution Time Model 5 Chapter 2: Basics 11 2.1 Manipulating Rightmost Bits 11 2.2 Addition Combined with Logical Operations 16 2.3 Inequalities among Logical and Arithmetic Expressions 17 2.4 Absolute Value Function 18 2.5 Average of Two Integers 19 2.6 Sign Extension 19 2.7 Shift Right Signed from Unsigned 20 2.8 Sign Function 20 2.9 Three-Valued Compare Function 21 2.10 Transfer of Sign Function 22 2.11 Decoding a ?Zero Means 2** n ? Field 22 2.12 Comparison Predicates 23 2.13 Overflow Detection 28 2.14 Condition Code Result of Add , Subtract , and Multiply 36 2.15 Rotate Shifts 37 2.16 Double-Length Add/Subtract 38 2.17 Double-Length Shifts 39 2.18 Multibyte Add , Subtract , Absolute Value 40 2.19 Doz, Max, Min 41 2.20 Exchanging Registers 45 2.21 Alternating among Two or More Values 48 2.22 A Boolean Decomposition Formula 51 2.23 Implementing Instructions for all 16 Binary Boolean Operations 53 Chapter 3: Power-of-2 Boundaries 59 3.1 Rounding Up/Down to a Multiple of a Known Power of 2 59 3.2 Rounding Up/Down to the Next Power of 2 60 3.3 Detecting a Power-of-2 Boundary Crossing 63 Chapter 4: Arithmetic Bounds 67 4.1 Checking Bounds of Integers 67 4.2 Propagating Bounds through Add ?s and Subtract ?s 70 4.3 Propagating Bounds through Logical Operations 73 Chapter 5: Counting Bits 81 5.1 Counting 1-Bits 81 5.2 Parity 96 5.3 Counting Leading 0?s 99 5.4 Counting Trailing 0?s 107 Chapter 6: Searching Words 117 6.1 Find First 0-Byte 117 6.2 Find First String of 1-Bits of a Given Length 123 6.3 Find Longest String of 1-Bits 125 6.4 Find Shortest String of 1-Bits 126 Chapter 7: Rearranging Bits And Bytes 129 7.1 Reversing Bits and Bytes 129 7.2 Shuffling Bits 139 7.3 Transposing a Bit Matrix 141 7.4 Compress , or Generalized Extract 150 7.5 Expand , or Generalized Insert 156 7.6 Hardware Algorithms for Compress and Expand 157 7.7 General Permutations, Sheep and Goats Operation 161 7.8 Rearrangements and Index
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you´ll remember important things you´ve forgotten and discover classic solutions to your ´´new´´ problems Key Features- Breadth-first and depth-first search algorithms- Constraints satisfaction problems- Common techniques for graphs- Adversarial Search- Neural networks and genetic algorithms- Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you´ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you´ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning´s Classic Computer Science Problemsin Swift.
Dieses T-Shirt spielt darauf an, dass Informatiker auch mit Bäumen zu tun haben : Binärbäumen. Der Binärcode auf dem Shirt bedeutet deshalb: In computer science, a binary tree is a tree data structure. This binary tree is just a joke.