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Adversarial Tradecraft in Cybersecurity. Offense versus defense in real-time computer conflict
Little has been written about what to do when live hackers are on your system and running amok. Even experienced hackers tend to choke up when they realize the network defender has caught them and is zoning in on their implants in real time. This book will provide tips and tricks all along the kill chain of an attack, showing where hackers can have the upper hand in a live conflict and how defenders can outsmart them in this adversarial game of computer cat and mouse.This audiobook contains two subsections in each chapter, specifically focusing on the offensive and defensive teams. It begins by introducing you to adversarial operations and principles of computer conflict where you will explore the core principles of deception, humanity, economy, and more about human-on-human conflicts. Additionally, you will understand everything from planning to setting up infrastructure and tooling that both sides should have in place.Throughout this audiobook, you will learn how to gain an advantage over opponents by disappearing from what they can detect. You will further understand how to blend in, uncover other actors’ motivations and means, and learn to tamper with them to hinder their ability to detect your presence. Finally, you will learn how to gain an advantage through advanced research and thoughtfully concluding an operation.By the end of this audiobook, you will have achieved a solid understanding of cyberattacks from both an attacker’s and a defender’s perspective.
Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion.As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments.By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source.
Kali Linux is a Linux-based distribution that's widely used for penetration testing and digital forensics. This third edition is updated with real-world examples and detailed labs to help you take your investigation skills to the next level using powerful tools.This new edition will help you explore modern techniques for analysis, extraction, and reporting using advanced tools such as FTK Imager, Hex Editor, and Axiom. You’ll cover the basics and advanced areas of digital forensics within the world of modern forensics while delving into the domain of operating systems. As you advance through the chapters, you'll explore various formats for file storage, including secret hiding places unseen by the end user or even the operating system. You’ll also discover how to install Windows Emulator, Autopsy 4 in Kali, and how to use Nmap and NetDiscover to find device types and hosts on a network, along with creating forensic images of data and maintaining integrity using hashing tools. Finally, you'll cover advanced topics such as autopsies and acquiring investigation data from networks, memory, and operating systems.By the end of this digital forensics book, you'll have gained hands-on experience in implementing all the pillars of digital forensics: acquisition, extraction, analysis, and presentation – all using Kali Linux's cutting-edge tools.
Toi B. Wright, Scott Hanselman
Blazor WebAssembly helps developers build web applications without the need for JavaScript, plugins, or add-ons. With its continued growth in popularity, getting started with Blazor now can open doors to new career paths and exciting projects – and Blazor WebAssembly by Example will make your first steps easier. This is a project-based guide that will teach you how to build single-page web applications with Blazor, focusing heavily on the practical over the theoretical by providing detailed step-by-step instructions for each project. The author also includes a video for each project showing her following the step-by-step instructions, so readers can use them if they're unsure about any particular step.In this updated edition, you'll start by building simple standalone web applications and gradually progress to developing more advanced hosted web applications with SQL Server backends. Each project will cover a different aspect of the Blazor WebAssembly ecosystem, such as Razor components, JavaScript interop, security, event handling, debugging on the client, application state, and dependency injection. The book’s projects get more challenging as you progress, but you don’t have to complete them in order, which makes this book a valuable resource for beginners as well as those who just want to dip into specific topics.By the end of this book, you will have experience and lots of know-how on how to build a wide variety of single-page web applications with .NET, Blazor WebAssembly, and C#.
Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers.You’ll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You’ll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you’ll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you’ll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you’ll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you’ll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you’ll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration.By the end of this book, you’ll be able to build production-grade microservices as well as orchestrate a complex system of services using containers.
Android 6 is the latest and greatest version of the Android operating system, and comes packed with cutting edge new features for you to harness for the benefit of building better applications.This step-by-step guide will take you through the basics of the Android Marshmallow permissions model and beyond into other crucial areas such as the Audio,Video,Camera API and Android’s at work features. Learn how to create, deploy, and manage Android applications with Marshmallow’s API and the latest functionalities. The combination of instructions and real-world examples will make your application deployment and testing a breeze.
Since its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform.In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics.This edition not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potential
Rich Collier, Camilla Montonen, Bahaaldine Azarmi
Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection.The book starts by explaining machine learning concepts in an intuitive way. You'll then perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with.By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform.
TYPO3 is one of the world's leading open source content management systems, written in PHP, which can be used to create and customize your web site. Along with text content, you can display high quality images, audio, and video to your site's visitors by using TYPO3. It is essential to manage various types of multimedia files in content management systems for both editors and the users on the frontend of the site.The book gives you a step-by-step process for organizing an effective multimedia system. It also gives solutions to commonly encountered problems, and offers a variety of tools for dealing with multimedia content. The author's experience in large-scale systems enables him to share his effective solutions to these problems.If you choose to work through all the recipes from the beginning, you will start by setting up a basic web site set up, aimed at future expansion and scalability. Next, you will cover the basics of digital asset management—a major topic important in all enterprises. You can organize user groups because next you will be creating accounts for users and assigning permissions. Then you will jump into metadata—text information describing the multimedia objects—and learn how it can be manipulated in TYPO3. You will embed multimedia on your site when you have read the various methods for embedding mentioned in this book. Before you finish the book you will learn about some advanced topics, such as external API integrations and process automation.
Learning ArcGIS for Desktop. Create, analyze, and map your spatial data with ArcGIS for Desktop
ArcGIS for Desktop is one of the main components of the ESRI ArcGIS platform used to support decision making and solve real-world mapping problems. Learning ArcGIS for Desktop is a tutorial-based guide that provides a practical experience for those who are interested in start working with ArcGIS. The first five chapters cover the basic concepts of working with the File Geodatabase, as well as editing and symbolizing geospatial data. Then, the book focuses on planning and performing spatial analysis on vector and raster data using the geoprocessing and modeling tools. Finally, the basic principles of cartography design will be used to create a quality map that presents the information that resulted from the spatial analysis previously performed. To keep you learning throughout the chapters, all exercises have partial and final results stored in the dataset that accompanies the book. Finally, the book offers more than it promises by using the ArcGIS Online component in the tutorials as source of background data and for results sharing
Flutter is a cross-platform user interface (UI) toolkit that enables developers to create beautiful native applications for mobile, desktop, and the web with a single codebase. State management in Flutter is one of the most crucial and complex topics within Flutter, with a wide array of approaches available that can make it easy to get lost due to information overload.Managing State in Flutter Pragmatically is a definitive guide to starting out with Flutter and learning about state management, helping developers with some experience of state management to choose the most appropriate solutions and techniques to use. The book takes a hands-on approach and begins by covering the basics of Flutter state management before exploring how to build and manipulate a shopping cart app using popular approaches such as BLoC/Cubit, Provider, MobX, and Riverpod. Throughout the book, you'll also learn how to adopt approaches from React such as Redux and all its types.By the end of this Flutter book, you'll have gained a holistic view of all the state management approaches in Flutter, and learned which approach is the best solution for managing state in your app development journey.
Applying Deepfakes will allow you to tackle a wide range of scenarios creatively.Learning from experienced authors will help you to intuitively understand what is going on inside the model. You’ll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap.We’ll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful.No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We’ll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking.By the end of the book, you’ll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.