Binary Analysis Cookbook
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Binary Analysis Cookbook
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Author : Michael Born
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-09-20
Binary Analysis Cookbook written by Michael Born and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Computers categories.
Explore open-source Linux tools and advanced binary analysis techniques to analyze malware, identify vulnerabilities in code, and mitigate information security risks Key FeaturesAdopt a methodological approach to binary ELF analysis on LinuxLearn how to disassemble binaries and understand disassembled codeDiscover how and when to patch a malicious binary during analysisBook Description 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. What you will learnTraverse the IA32, IA64, and ELF specificationsExplore Linux tools to disassemble ELF binariesIdentify vulnerabilities in 32-bit and 64-bit binariesDiscover actionable solutions to overcome the limitations in analyzing ELF binariesInterpret the output of Linux tools to identify security risks in binariesUnderstand how dynamic taint analysis worksWho this book is for This book is for anyone looking to learn how to dissect ELF binaries using open-source tools available in Linux. If you’re a Linux system administrator or information security professional, you’ll find this guide useful. Basic knowledge of Linux, familiarity with virtualization technologies and the working of network sockets, and experience in basic Python or Bash scripting will assist you with understanding the concepts in this book
Time Series Analysis With Python Cookbook
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Author : Tarek A. Atwan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-06-30
Time Series Analysis With Python Cookbook written by Tarek A. Atwan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Computers categories.
Perform time series analysis and forecasting confidently with this Python code bank and reference manual Key Features • Explore forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms • Learn different techniques for evaluating, diagnosing, and optimizing your models • Work with a variety of complex data with trends, multiple seasonal patterns, and irregularities Book Description Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting. This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. Next, you'll learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods, followed by more advanced unsupervised ML models. The book will also explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR. The recipes will present practical techniques for handling non-stationary data, using power transforms, ACF and PACF plots, and decomposing time series data with multiple seasonal patterns. Later, you'll work with ML and DL models using TensorFlow and PyTorch. Finally, you'll learn how to evaluate, compare, optimize models, and more using the recipes covered in the book. What you will learn • Understand what makes time series data different from other data • Apply various imputation and interpolation strategies for missing data • Implement different models for univariate and multivariate time series • Use different deep learning libraries such as TensorFlow, Keras, and PyTorch • Plot interactive time series visualizations using hvPlot • Explore state-space models and the unobserved components model (UCM) • Detect anomalies using statistical and machine learning methods • Forecast complex time series with multiple seasonal patterns Who this book is for This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis and forecasting techniques. Fundamental knowledge of Python programming is required. Although having a basic math and statistics background will be beneficial, it is not necessary. Prior experience working with time series data to solve business problems will also help you to better utilize and apply the different recipes in this book.
Scala Data Analysis Cookbook
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Author : Arun Manivannan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-10-30
Scala Data Analysis Cookbook written by Arun Manivannan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-30 with Computers categories.
Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin Scale up your data anlytics infrastructure with practical recipes for Scala machine learning Recipes for every stage of the data analysis process, from reading and collecting data to distributed analytics Who This Book Is For This book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis. What You Will Learn Familiarize and set up the Breeze and Spark libraries and use data structures Import data from a host of possible sources and create dataframes from CSV Clean, validate and transform data using Scala to pre-process numerical and string data Integrate quintessential machine learning algorithms using Scala stack Bundle and scale up Spark jobs by deploying them into a variety of cluster managers Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you'll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX. Style and approach This book contains a rich set of recipes that covers the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala and Spark.
Mysql 8 Cookbook
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Author : Karthik Appigatla
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-25
Mysql 8 Cookbook written by Karthik Appigatla and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-25 with Computers categories.
Design and administer enterprise-grade MySQL 8 solutions Key Features Store, retrieve, and manipulate your data using the latest MySQL 8 features Practical recipes on effective administration in MySQL, with a focus on security, performance tuning, troubleshooting, and more Contains tips, tricks, and best practices for designing, developing, and administering your MySQL 8 database solution without any hassle Book Description MySQL is one of the most popular and widely used relational databases in the World today. The recently released MySQL 8 version promises to be better and more efficient than ever before. This book contains everything you need to know to be the go-to person in your organization when it comes to MySQL. Starting with a quick installation and configuration of your MySQL instance, the book quickly jumps into the querying aspects of MySQL. It shows you the newest improvements in MySQL 8 and gives you hands-on experience in managing high-transaction and real-time datasets. If you've already worked with MySQL before and are looking to migrate your application to MySQL 8, this book will also show you how to do that. The book also contains recipes on efficient MySQL administration, with tips on effective user management, data recovery, security, database monitoring, performance tuning, troubleshooting, and more. With quick solutions to common and not-so-common problems you might encounter while working with MySQL 8, the book contains practical tips and tricks to give you the edge over others in designing, developing, and administering your database effectively. What you will learn Install and configure your MySQL 8 instance without any hassle Get to grips with new features of MySQL 8 like CTE, Window functions and many more Perform backup tasks, recover data and set up various replication topologies for your database Maximize performance by using new features of MySQL 8 like descending indexes, controlling query optimizer and resource groups Learn how to use general table space to suit the SaaS or multi-tenant applications Analyze slow queries using performance schema, sys schema and third party tools Manage and monitor your MySQL instance and implement efficient performance-tuning tasks Who this book is for If you are a MySQL developer or administrator looking for quick, handy solutions to solve the most common and not-so-common problems in MySQL, this book is for you. MySQL DBAs looking to get up-to-speed with the latest MySQL 8 development and administration features will also find this book very useful. Prior knowledge of Linux and RDBMS is desirable.
Python Feature Engineering Cookbook
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Author : Soledad Galli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-31
Python Feature Engineering Cookbook written by Soledad Galli and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Computers categories.
Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python libraries Key Features Learn and implement feature engineering best practices Reinforce your learning with the help of multiple hands-on recipes Build end-to-end feature engineering pipelines that are performant and reproducible Book DescriptionFeature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes. This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner. By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production.What you will learn Impute missing data using various univariate and multivariate methods Encode categorical variables with one-hot, ordinal, and count encoding Handle highly cardinal categorical variables Transform, discretize, and scale your variables Create variables from date and time with pandas and Feature-engine Combine variables into new features Extract features from text as well as from transactional data with Featuretools Create features from time series data with tsfresh Who this book is for This book is for machine learning and data science students and professionals, as well as software engineers working on machine learning model deployment, who want to learn more about how to transform their data and create new features to train machine learning models in a better way.
Python For Cybersecurity Cookbook
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Author : Nishant Krishna
language : en
Publisher: BPB Publications
Release Date : 2023-08-25
Python For Cybersecurity Cookbook written by Nishant Krishna and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with Computers categories.
Learn how to use Python for vulnerability scanning, malware analysis, penetration testing, and more KEY FEATURES ● Get familiar with the different aspects of cybersecurity, such as network security, malware analysis, and penetration testing. ● Implement defensive strategies to protect systems, networks, and data from cyber threats. ● Discover advanced offensive techniques for penetration testing, exploiting vulnerabilities, and assessing overall security posture. DESCRIPTION Python is a powerful and versatile programming language that can be used for a wide variety of tasks, including general-purpose applications and specific use cases in cybersecurity. This book is a comprehensive guide to solving simple to moderate complexity problems in cybersecurity using Python. It starts with fundamental issues in reconnaissance and then moves on to the depths of the topics such as forensic analysis, malware and phishing analysis, and working with wireless devices. Furthermore, it also covers defensive and offensive security topics, such as system hardening, discovery and implementation, defensive security techniques, offensive security techniques, and penetration testing. By the end of this book, you will have a strong understanding of how to use Python for cybersecurity and be able to solve problems and create solutions independently. WHAT YOU WILL LEARN ● Learn how to use Python for cyber forensic analysis. ● Explore ways to analyze malware and phishing-based compromises. ● Use network utilities to gather information, monitor network activity, and troubleshoot issues. ● Learn how to extract and analyze hidden information in digital files. ● Examine source code for vulnerabilities and reverse engineering to understand software behavior. WHO THIS BOOK IS FOR The book is for a wide range of people interested in cybersecurity, including professionals, researchers, educators, students, and those considering a career in the field. TABLE OF CONTENTS 1. Getting Started 2. Passive Reconnaissance 3. Active Reconnaissance 4. Development Environment for Advanced Techniques 5. Forensic Analysis 6. Metadata Extraction and Parsing 7. Malware and Phishing Analysis 8. Working with Wireless Devices 9. Working with Network Utilities 10. Source Code Review and Reverse Engineering 11. System Hardening, Discovery, and Implementation 12. Defensive Security Techniques 13. Offensive Security Techniques and Pen Testing
R Cookbook
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Author : JD Long
language : en
Publisher: O'Reilly Media
Release Date : 2019-06-21
R Cookbook written by JD Long and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-21 with Computers categories.
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
Network Analysis Using Wireshark 2 Cookbook
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Author : Nagendra Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-03-30
Network Analysis Using Wireshark 2 Cookbook written by Nagendra Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-30 with Computers categories.
Over 100 recipes to analyze and troubleshoot network problems using Wireshark 2 Key Features Place Wireshark 2 in your network and configure it for effective network analysis Deep dive into the enhanced functionalities of Wireshark 2 and protect your network with ease A practical guide with exciting recipes on a widely used network protocol analyzer Book Description This book contains practical recipes on troubleshooting a data communications network. This second version of the book focuses on Wireshark 2, which has already gained a lot of traction due to the enhanced features that it offers to users. The book expands on some of the subjects explored in the first version, including TCP performance, network security, Wireless LAN, and how to use Wireshark for cloud and virtual system monitoring. You will learn how to analyze end-to-end IPv4 and IPv6 connectivity failures for Unicast and Multicast traffic using Wireshark. It also includes Wireshark capture files so that you can practice what you’ve learned in the book. You will understand the normal operation of E-mail protocols and learn how to use Wireshark for basic analysis and troubleshooting. Using Wireshark, you will be able to resolve and troubleshoot common applications that are used in an enterprise network, like NetBIOS and SMB protocols. Finally, you will also be able to measure network parameters, check for network problems caused by them, and solve them effectively. By the end of this book, you’ll know how to analyze traffic, find patterns of various offending traffic, and secure your network from them. What you will learn Configure Wireshark 2 for effective network analysis and troubleshooting Set up various display and capture filters Understand networking layers, including IPv4 and IPv6 analysis Explore performance issues in TCP/IP Get to know about Wi-Fi testing and how to resolve problems related to wireless LANs Get information about network phenomena, events, and errors Locate faults in detecting security failures and breaches in networks Who this book is for This book is for security professionals, network administrators, R&D, engineering and technical support, and communications managers who are using Wireshark for network analysis and troubleshooting. It requires a basic understanding of networking concepts, but does not require specific and detailed technical knowledge of protocols or vendor implementations.
Burp Suite Cookbook
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Author : Sunny Wear
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-26
Burp Suite Cookbook written by Sunny Wear and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Computers categories.
Get hands-on experience in using Burp Suite to execute attacks and perform web assessments Key FeaturesExplore the tools in Burp Suite to meet your web infrastructure security demandsConfigure Burp to fine-tune the suite of tools specific to the targetUse Burp extensions to assist with different technologies commonly found in application stacksBook Description Burp Suite is a Java-based platform for testing the security of your web applications, and has been adopted widely by professional enterprise testers. The Burp Suite Cookbook contains recipes to tackle challenges in determining and exploring vulnerabilities in web applications. You will learn how to uncover security flaws with various test cases for complex environments. After you have configured Burp for your environment, you will use Burp tools such as Spider, Scanner, Intruder, Repeater, and Decoder, among others, to resolve specific problems faced by pentesters. You will also explore working with various modes of Burp and then perform operations on the web. Toward the end, you will cover recipes that target specific test scenarios and resolve them using best practices. By the end of the book, you will be up and running with deploying Burp for securing web applications. What you will learnConfigure Burp Suite for your web applicationsPerform authentication, authorization, business logic, and data validation testingExplore session management and client-side testingUnderstand unrestricted file uploads and server-side request forgeryExecute XML external entity attacks with BurpPerform remote code execution with BurpWho this book is for If you are a security professional, web pentester, or software developer who wants to adopt Burp Suite for applications security, this book is for you.
Pandas 1 X Cookbook
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Author : Matt Harrison
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-02-27
Pandas 1 X Cookbook written by Matt Harrison and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with Computers categories.
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.