Learn how to pentest your hardware with the most common attract techniques and patterns Key Features Explore various pentesting tools and techniques to secure your hardware infrastructure Protect your hardware by finding potential entry points like glitches Find the best practices for securely designing your products Book DescriptionIf you're looking for hands-on introduction to pentesting that delivers, then Practical Hardware Pentesting is for you. This book will help you plan attacks, hack your embedded devices, and secure the hardware infrastructure. Throughout the book, you will see how a specific device works, explore the functional and security aspects, and learn how a system senses and communicates with the outside world. You'll set up a lab from scratch and then gradually work towards an advanced hardware lab-but you'll still be able to follow along with a basic setup. As you progress, you'll get to grips with the global architecture of an embedded system and sniff on-board traffic, learn how to identify and formalize threats to the embedded system, and understand its relationship with its ecosystem. You'll discover how to analyze your hardware and locate its possible system vulnerabilities before going on to explore firmware dumping, analysis, and exploitation. The reverse engineering chapter will get you thinking from an attacker point of view; you'll understand how devices are attacked, how they are compromised, and how you can harden a device against the most common hardware attack vectors. By the end of this book, you will be well-versed with security best practices and understand how they can be implemented to secure your hardware. What you will learn Perform an embedded system test and identify security critical functionalities Locate critical security components and buses and learn how to attack them Discover how to dump and modify stored information Understand and exploit the relationship between the firmware and hardware Identify and attack the security functions supported by the functional blocks of the device Develop an attack lab to support advanced device analysis and attacks Who this book is forIf you're a researcher or a security professional who wants a comprehensive introduction into hardware security assessment, then this book is for you. Electrical engineers who want to understand the vulnerabilities of their devices and design them with security in mind will also find this book useful. You won't need any prior knowledge with hardware pentensting before you get started; everything you need is in the chapters.

Discover how to use the LEGO MINDSTORMS Inventor kit and boost your confidence in robotics Key Features Gain confidence in building robots using creative designs Learn advanced robotic features and find out how to integrate them to build a robot Work with the block coding language used in robotics software in a practical way Book DescriptionLEGO MINDSTORMS Robot Inventor is the latest addition to the LEGO MINDSTORMS theme. It features unique designs that you can use to build robots, and also enable you to perform activities using the robot inventor application. You'll begin by exploring the history of LEGO MINDSTORMS, and then delve into various elements of the Inventor kit. Moving on, you'll start working on different projects which will prepare you to build a variety of smart robots. The first robotic project involves designing a claw to grab objects, and helps you to explore how a smart robot is used in everyday life and in industry. The second project revolves around building a working guitar that can be played and modified to meet the needs of the user. As you advance, you'll explore the concept of biomimicry as you discover how to build a scorpion robot. In addition to this, you'll also work on a classic robotic challenge by building a sumobot. Throughout the book, you'll come across a variety of projects that will provide you with hands-on experience in building creative robots, such as building a Dragster, Egg Decorator, and Plankton from Spongebob Squarepants. By the end of this LEGO book, you'll have got to grips with the concepts behind building a robot, and also found creative ways to integrate them using the application based on your creative insights and ideas. What you will learn Discover how the Robot Inventor kit works, and explore its parts and the elements inside them Delve into the block coding language used to build robots Find out how to create interactive robots with the help of sensors Understand the importance of real-world robots in today's landscape Recognize different ways to build new ideas based on existing solutions Design basic to advanced level robots using the Robot Inventor kit Who this book is forThis book is for robot enthusiasts, LEGO lovers, hobbyists, educators, students, and anyone looking to learn about the new LEGO Robot Inventor kit. This book is designed to go beyond the basic build through to intermediate and advanced builds, and enables you to add your personal flair to the builds and codes.

Get up to speed with various penetration testing techniques and resolve security threats of varying complexity Key Features Enhance your penetration testing skills to tackle security threats Learn to gather information, find vulnerabilities, and exploit enterprise defenses Navigate secured systems with the most up-to-date version of Kali Linux (2019.1) and Metasploit (5.0.0) Book DescriptionSending information via the internet is not entirely private, as evidenced by the rise in hacking, malware attacks, and security threats. With the help of this book, you'll learn crucial penetration testing techniques to help you evaluate enterprise defenses. You'll start by understanding each stage of pentesting and deploying target virtual machines, including Linux and Windows. Next, the book will guide you through performing intermediate penetration testing in a controlled environment. With the help of practical use cases, you'll also be able to implement your learning in real-world scenarios. By studying everything from setting up your lab, information gathering and password attacks, through to social engineering and post exploitation, you'll be able to successfully overcome security threats. The book will even help you leverage the best tools, such as Kali Linux, Metasploit, Burp Suite, and other open source pentesting tools to perform these techniques. Toward the later chapters, you'll focus on best practices to quickly resolve security threats. By the end of this book, you'll be well versed with various penetration testing techniques so as to be able to tackle security threats effectively What you will learn Perform entry-level penetration tests by learning various concepts and techniques Understand both common and not-so-common vulnerabilities from an attacker's perspective Get familiar with intermediate attack methods that can be used in real-world scenarios Understand how vulnerabilities are created by developers and how to fix some of them at source code level Become well versed with basic tools for ethical hacking purposes Exploit known vulnerable services with tools such as Metasploit Who this book is forIf you're just getting started with penetration testing and want to explore various security domains, this book is for you. Security professionals, network engineers, and amateur ethical hackers will also find this book useful. Prior knowledge of penetration testing and ethical hacking is not necessary.

Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.js Key Features Learn the fundamentals of NoSQL databases with MongoDB Create, manage, and optimize a MongoDB database in the cloud using Atlas Use a real-world dataset to gain practical experience of handling big data Book DescriptionMongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start - showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB. What you will learn Set up and use MongoDB Atlas on the cloud Insert, update, delete, and retrieve data from MongoDB Build aggregation pipelines to perform complex queries Optimize queries using indexes Monitor databases and manage user authorization Improve scalability and performance with sharding clusters Replicate clusters, back up your database, and restore data Create data-driven charts and reports from real-time data Who this book is forThis book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges Book DescriptionThis eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples. What you will learn Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric face recognition Use deep neural networks to build an optical character recognition system Who this book is forThis book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. If you are facing challenges at work and want ready-to-use code solutions to cover key tasks in machine learning and the deep learning domain, then this book is what you need. Familiarity with Python programming and machine learning concepts will be useful.

Gain proficiency in monitoring infrastructure along with focusing on cloud backup and recovery Key Features Explore the 3-2-1 rule of backups in Veeam to keep your data safe Gain in-depth knowledge of NAS backups and Scale-Out Repositories to use in your virtual environment Discover Veeam's monitoring and reporting utility - Veeam ONE - along with Linux and Window's proxy Book DescriptionVeeam is one of the leading modern data protection solutions, and mastering this technology can help you to protect your virtual environments effectively. This book guides you through implementing modern data protection solutions for your cloud and virtual infrastructure with Veeam. You will even gain in-depth knowledge of advanced concepts such as DataLabs, cloud backup and recovery, Instant VM Recovery, and Veeam ONE. This book starts by taking you through Veeam essentials, including installation, best practices, and optimizations for Veeam Backup & Replication. You'll get to grips with the 3-2-1 rule to safeguard data along with understanding how to set up a backup server, proxies, repositories, and more. Later chapters go on to cover a powerful feature of Veeam 10 - NAS backup. As you progress, you'll learn about scale-out Repositories and best practices for creating them. In the concluding chapters, you'll explore the new proxy option available in both Linux and Windows. Finally, you'll discover advanced topics such as DataLabs, cloud backup and recovery, Instant VM Recovery, and Veeam ONE. By the end of this book, you will be equipped with the skills you need to implement Veeam Backup & Replication for your environment and disaster recovery. What you will learn Discover the advanced concepts of Veeam Backup & Replication 10 Master application optimizations based on Veeam best practices Understand how to configure NAS backups and work with repositories and proxies Explore different ways to protect your backups, including object immutability and cloud backup and recovery Discover how DataLabs works Understand how Instant VM Recovery allows you to restore virtual machines Become well versed in Veeam ONE for monitoring and reporting on your environment Who this book is forThis Veeam backup book is for IT professionals who have intermediate to advanced-level knowledge of virtualization as well as backups and backup applications. Anyone who needs a reference guide for learning the advanced features of Veeam Backup & Replication and how they are used, including best practices and optimizations, will also find this book useful.