Practical Mobile Forensics. Dive into mobile forensics on iOS, Android, Windows, and BlackBerry devices with this action-packed, practical guide

Satish Bommisetty, Rohit Tamma, Heather Mahalik

Mastering Kali Linux Wireless Pentesting. Test your wireless network’s security and master advanced wireless penetration techniques using Kali Linux

Brian Sak, Jilumudi Raghu Ram

Kali Linux is a Debian-based Linux distribution designed for digital forensics and penetration testing. It gives access to a large collection of security-related tools for professional security testing - some of the major ones being Nmap, Aircrack-ng, Wireshark, and Metasploit.This book will take you on a journey where you will learn to master advanced tools and techniques to conduct wireless penetration testing with Kali Linux. You will begin by gaining an understanding of setting up and optimizing your penetration testing environment for wireless assessments. Then, the book will take you through a typical assessment from reconnaissance, information gathering, and scanning the network through exploitation and data extraction from your target. You will get to know various ways to compromise the wireless network using browser exploits, vulnerabilities in firmware, web-based attacks, client-side exploits, and many other hacking methods. You will also discover how to crack wireless networks with speed, perform man-in-the-middle and DOS attacks, and use Raspberry Pi and Android to expand your assessment methodology.By the end of this book, you will have mastered using Kali Linux for wireless security assessments and become a more effective penetration tester and consultant.

Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

Alessandro Parisi

Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.

OpenStack Cloud Security. Your OpenStack cloud storage contains all your vital computing resources and potentially sensitive data – secure it with this essential OpenStack tutorial

Fabio Alessandro Locati, Fabio A Locati (Duplicate)

Go Programming - From Beginner to Professional. Learn everything you need to build modern software using Go - Second Edition

Samantha Coyle

Go Programming – From Beginner to Professional is a comprehensive guide that takes your proficiency in the Go programming language from novice to expert. Starting with fundamental concepts, this book covers variables, command-line tools, and working with data before delving into advanced concepts, including error handling, interfaces, and generics, harnessing Go’s latest features through hands-on exercises. Along the way, you’ll learn to structure projects using Go modules, manage packages effectively, and master debugging techniques.As you progress, you’ll get to grips with practical application-centric aspects such as command-line programming, file manipulation, and working with SQL databases. Additionally, the book explores web server development, RESTful APIs, and utilizing the Go HTTP client to interact with web applications. Further enhancing your Go skills, you’ll learn concurrent programming, testing methodologies, Go tools, and how to deploy applications in the cloud. Throughout the book, you’ll uncover Go’s hidden gems and gain insights into time manipulation, best practices, and more.By the end of this book, you’ll have worked through practical exercises and activities that’ll equip you with the knowledge and skills needed to excel as a proficient Go developer, primed for success in real-world projects.

Mastering Selenium WebDriver 3.0. Boost the performance and reliability of your automated checks by mastering Selenium WebDriver - Second Edition

Mark Collin

The second edition of Mastering Selenium 3.0 WebDriver starts by showing you how to build your own Selenium framework with Maven. You'll then look at how you can solve the difficult problems that you will undoubtedly come across as you start using Selenium in an enterprise environment and learn how to produce the right feedback when failing. Next, you’ll explore common exceptions that you will come across as you use Selenium, the root causes of these exceptions, and how to fix them. Along the way, you’ll use Advanced User Interactions APIs, running any JavaScript you need through Selenium; and learn how to quickly spin up a Selenium Grid using Docker containers. In the concluding chapters, you‘ll work through a series of scenarios that demonstrate how to extend Selenium to work with external libraries and applications so that you can be sure you are using the right tool for the job.

Designing and Prototyping Interfaces with Figma. Learn essential UX/UI design principles by creating interactive prototypes for mobile, tablet, and desktop

Fabio Staiano

A driving force of the design tools market, Figma makes it easy to work with classic design features while enabling unique innovations and opening up real-time collaboration possibilities. It comes as no surprise that many designers decide to switch from other tools to Figma.In this book, you'll be challenged to design a user interface for a responsive mobile application having researched and understood user needs. You'll become well-versed with the process in a step-by-step manner by exploring the theory first and gradually moving on to practice. You'll begin your learning journey by covering the basics of user experience research with FigJam and the process of creating a complete design using Figma tools such as Components, Variants, Auto Layout, and much more. You'll also learn how to prototype your design and explore the potential of community resources such as templates and plugins.By the end of this Figma book, you'll have a solid understanding of the user interface workflow, managing essential Figma tools, and organizing your workflow.

Unity 5.x Shaders and Effects Cookbook. Master the art of Shader programming to bring life to your Unity projects

Alan Zucconi

Since their introduction to Unity, Shaders have been notoriously difficult to understand and implement in games: complex mathematics have always stood in the way of creating your own Shaders and attaining that level of realism you crave. With Shaders, you can transform your game into a highly polished, refined product with Unity’s post-processing effects.Unity Shaders and Effects Cookbook is the first of its kind to bring you the secrets of creating Shaders for Unity3D—guiding you through the process of understanding vectors, how lighting is constructed with them, and also how textures are used to create complex effects without the heavy math.We’ll start with essential lighting and finishing up by creating stunning screen Effects just like those in high quality 3D and mobile games. You’ll discover techniques including normal mapping, image-based lighting, and how to animate your models inside a Shader. We’ll explore the secrets behind some of the most powerful techniques, such as physically based rendering! With Unity Shaders and Effects Cookbook, what seems like a dark art today will be second nature by tomorrow.

Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark

Rindra Ramamonjison, Rindra Ramamonjison

Ghidra Software Reverse-Engineering for Beginners. Master the art of debugging, from understanding code to mitigating threats - Second Edition

David Álvarez Pérez, Ravikant Tiwari

Written by David Álvarez Pérez, a senior malware analyst at Gen Digital Inc., and Ravikant Tiwari, a senior security researcher at Microsoft, with expertise in malware and threat detection, this book is a complete guide to using Ghidra for examining malware, making patches, and customizing its features for your cybersecurity needs.This updated edition walks you through implementing Ghidra’s capabilities and automating reverse-engineering tasks with its plugins. You’ll learn how to set up an environment for practical malware analysis, use Ghidra in headless mode, and leverage Ghidra scripting to automate vulnerability detection in executable binaries. Advanced topics such as creating Ghidra plugins, adding new binary formats, analyzing processor modules, and contributing to the Ghidra project are thoroughly covered too.This edition also simplifies complex concepts such as remote and kernel debugging and binary diffing, and their practical uses, especially in malware analysis. From unpacking malware to analyzing modern ransomware, you’ll acquire the skills necessary for handling real-world cybersecurity challenges.By the end of this Ghidra book, you’ll be adept at avoiding potential vulnerabilities in code, extending Ghidra for advanced reverse-engineering, and applying your skills to strengthen your cybersecurity strategies.

Mastering Reinforcement Learning with Python. Build next-generation, self-learning models using reinforcement learning techniques and best practices

Enes Bilgin

Reinforcement learning (RL) is a field of artificial intelligence (AI) used for creating self-learning autonomous agents. Building on a strong theoretical foundation, this book takes a practical approach and uses examples inspired by real-world industry problems to teach you about state-of-the-art RL.Starting with bandit problems, Markov decision processes, and dynamic programming, the book provides an in-depth review of the classical RL techniques, such as Monte Carlo methods and temporal-difference learning. After that, you will learn about deep Q-learning, policy gradient algorithms, actor-critic methods, model-based methods, and multi-agent reinforcement learning. Then, you'll be introduced to some of the key approaches behind the most successful RL implementations, such as domain randomization and curiosity-driven learning.As you advance, you’ll explore many novel algorithms with advanced implementations using modern Python libraries such as TensorFlow and Ray’s RLlib package. You’ll also find out how to implement RL in areas such as robotics, supply chain management, marketing, finance, smart cities, and cybersecurity while assessing the trade-offs between different approaches and avoiding common pitfalls.By the end of this book, you’ll have mastered how to train and deploy your own RL agents for solving RL problems.

Microsoft Security Operations Analyst Exam Ref SC-200 Certification Guide. Manage, monitor, and respond to threats using Microsoft Security Stack for securing IT systems

Trevor Stuart, Joe Anich

Security in information technology has always been a topic of discussion, one that comes with various backgrounds, tools, responsibilities, education, and change! The SC-200 exam comprises a wide range of topics that introduce Microsoft technologies and general operations for security analysts in enterprises. This book is a comprehensive guide that covers the usefulness and applicability of Microsoft Security Stack in the daily activities of an enterprise security operations analyst.Starting with a quick overview of what it takes to prepare for the exam, you'll understand how to implement the learning in real-world scenarios. You'll learn to use Microsoft's security stack, including Microsoft 365 Defender, and Microsoft Sentinel, to detect, protect, and respond to adversary threats in your enterprise. This book will take you from legacy on-premises SOC and DFIR tools to leveraging all aspects of the M365 Defender suite as a modern replacement in a more effective and efficient way.By the end of this book, you'll have learned how to plan, deploy, and operationalize Microsoft's security stack in your enterprise and gained the confidence to pass the SC-200 exam.

Blender 3D Incredible Machines. Design, model, and texture complex mechanical objects in Blender

Christopher Kuhn, Allan Brito

Blender 3D is one of the top pieces of 3D animation software. Machine modeling is an essential aspect of war games, space games, racing games, and animated action films. As the Blender software grows more powerful and popular, there is a demand to take your modeling skills to the next level. This book will cover all the topics you need to create professional models and renders. This book will help you develop a comprehensive skill set that covers the key aspects of mechanical modeling. Through this book, you will create many types of projects, including a pistol, spacecraft, robot, and a racer. We start by making a Sci-fi pistol, creating its basic shape and adding details to it. Moving on, you’ll discover modeling techniques for larger objects such as a space craft and take a look at how different techniques are required for freestyle modeling. After this, we’ll create the basic shapes for the robot and combine the meshes to create unified objects. We'll assign materials and explore the various options for freestyle rendering. We’ll discuss techniques to build low-poly models, create a low-poly racer, and explain how they differ from the high poly models we created previously. By the end of this book, you will have mastered a workflow that you will be able to apply to your own creations.

Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework

Aniruddha Deswandikar

Decentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help.The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud.The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI).By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.

PowerShell Troubleshooting Guide. Minimize debugging time and maximize troubleshooting efficiency by leveraging the unique features of the PowerShell language

Mike Shepard

Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition

Stefan Jansen

The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research.This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples.By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance.