Mastering Malware Analysis. A malware analyst's practical guide to combating malicious software, APT, cybercrime, and IoT attacks - Second Edition

Alexey Kleymenov, Amr Thabet

New and developing technologies inevitably bring new types of malware with them, creating a huge demand for IT professionals that can keep malware at bay. With the help of this updated second edition of Mastering Malware Analysis, you’ll be able to add valuable reverse-engineering skills to your CV and learn how to protect organizations in the most efficient way.This book will familiarize you with multiple universal patterns behind different malicious software types and teach you how to analyze them using a variety of approaches.You'll learn how to examine malware code and determine the damage it can possibly cause to systems, along with ensuring that the right prevention or remediation steps are followed. As you cover all aspects of malware analysis for Windows, Linux, macOS, and mobile platforms in detail, you’ll also get to grips with obfuscation, anti-debugging, and other advanced anti-reverse-engineering techniques. The skills you acquire in this cybersecurity book will help you deal with all types of modern malware, strengthen your defenses, and prevent or promptly mitigate breaches regardless of the platforms involved.By the end of this book, you will have learned how to efficiently analyze samples, investigate suspicious activity, and build innovative solutions to handle malware incidents.

Teaching with Google Classroom. To provide a step-by-step guide to setup and use Google Classroom

Michael Zhang

Google Classroom helps teachers bring their work online. According to Google Trends, it’s already bigger than Moodle after barely a year in the wild. This book is a complete start-to-finish guide for teachers using Google Classroom for the first time. It explains what Google Classroom is, what it can do, how to set it up, and how to use it to enhance student learning while making your life as a teacher easier. It shows you how to place resources and activities online, gather assignments, and develop group and individual activities. It’s not just a manual, you’ll also discover inspiring, easy ways to put Google Classroom to work for you and your class.

Puppet: Mastering Infrastructure Automation

Jaime Soriano Pastor

Puppet is a configuration management tool that allows you to automate all your IT configurations, giving you control. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts. Puppet gives you control of what you do to each node, when you do it, and how you do it.This Learning Path will take you from the basics of Puppet to extending it and then mastering it. We will start off with a primer on Puppet, its installation and get a sneak peek under its hood. We will then move on to designing and deploying your Puppet architecture, learning best practices for writing reusable and maintainable code, and executing, testing, and deploying Puppet across your systems. Finally, we will deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.This course is based on the following books: 1)Puppet 4 Essentials - Second Edition 2)Extending Puppet - Second Edition 3)Mastering Puppet - Second Edition

Network Automation with Go. Learn how to automate network operations and build applications using the Go programming language

Nicolas Leiva, Michael Kashin

Go’s built-in first-class concurrency mechanisms make it an ideal choice for long-lived low-bandwidth I/O operations, which are typical requirements of network automation and network operations applications.This book provides a quick overview of Go and hands-on examples within it to help you become proficient with Go for network automation. It’s a practical guide that will teach you how to automate common network operations and build systems using Go.The first part takes you through a general overview, use cases, strengths, and inherent weaknesses of Go to prepare you for a deeper dive into network automation, which is heavily reliant on understanding this programming language. You’ll explore the common network automation areas and challenges, what language features you can use in each of those areas, and the common software tools and packages. To help deepen your understanding, you’ll also work through real-world network automation problems and apply hands-on solutions to them.By the end of this book, you’ll be well-versed with Go and have a solid grasp on network automation.

Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling

Jesus Salcedo

Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques.This book will teach you how to implement ML algorithms and techniques in your data mining work. It will enable you to pair the best algorithms with the right tools and processes. You will learn how to identify patterns and make predictions with minimal human intervention. You will build different types of ML models, such as the neural network, the Support Vector Machines (SVMs), and the Decision tree. You will see how all of these models works and what kind of data in the dataset they are suited for. You will learn how to combine the results of different models in order to improve accuracy. Topics such as removing noise and handling errors will give you an added edge in model building and optimization.By the end of this book, you will be able to build predictive models and extract information of interest from the dataset

Exploring Deepfakes. Deploy powerful AI techniques for face replacement and more with this comprehensive guide

Bryan Lyon, Matt Tora

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.

Production-Ready Applied Deep Learning. Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

Tomasz Palczewski, Jaejun (Brandon) Lee, Lenin Mookiah

Machine learning engineers, deep learning specialists, and data engineers encounter various problems when moving deep learning models to a production environment. The main objective of this book is to close the gap between theory and applications by providing a thorough explanation of how to transform various models for deployment and efficiently distribute them with a full understanding of the alternatives.First, you will learn how to construct complex deep learning models in PyTorch and TensorFlow. Next, you will acquire the knowledge you need to transform your models from one framework to the other and learn how to tailor them for specific requirements that deployment environments introduce. The book also provides concrete implementations and associated methodologies that will help you apply the knowledge you gain right away. You will get hands-on experience with commonly used deep learning frameworks and popular cloud services designed for data analytics at scale. Additionally, you will get to grips with the authors’ collective knowledge of deploying hundreds of AI-based services at a large scale.By the end of this book, you will have understood how to convert a model developed for proof of concept into a production-ready application optimized for a particular production setting.

Mastering Adobe Photoshop Elements. Bring out the best in your images using Adobe Photoshop Elements 2024 - Sixth Edition

Robin Nichols

Dive into the world of digital photo editing with this latest edition, crafted by Robin Nichols, a seasoned photographer and digital imaging expert, which brings the latest Photoshop Elements 2024 to your fingertips. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels.It introduces new features like Dark Mode, Match Color, and Photo Reels, along with advanced techniques like layering and artistic effects. The book also addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. Elements 2024 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family.Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques—create the perfect picture or imaginative fantasy illustration. You’ll also learn the online realms of animation, video creation, and third-party plug-ins.By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2024 with complete confidence.