Machine Learning Security Principles. Keep data, networks, users, and applications safe from prying eyes

John Paul Mueller, Rod Stephens

Businesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this audiobook will explore these processes in more depth, which will help you in understanding the role security plays in machine learning.As you progress to the second part, you’ll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references.The next part of the audiobook will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary’s reputation. Once you’ve understood hacker goals and detection techniques, you’ll learn about the ramifications of deep fakes, followed by mitigation strategies.This audiobook also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You’ll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks.By the end of this machine learning audiobook, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively.

Internet of Things for Smart Buildings. Leverage IoT for smarter insights for buildings in the new and built environments

Harry G. Smeenk, Marc Petock

Imagine working in a building with smart features and tenant applications that allow you to monitor, manage, and control every aspect of your user experience. Internet of Things for Smart Buildings is a comprehensive guide that will help you achieve that with smart building architecture, ecosystems, technologies, and key components that create a smart building.In this audiobook, you’ll start by examining all the building systems and applications that can be automated with IoT devices. You’ll learn about different apps to improve efficiency, reduce consumption, and improve occupant satisfaction. You’ll explore IoT sensors, devices, computing platforms, analytics software, user interfaces, and connectivity options, along with common challenges you might encounter while developing the architecture.You’ll also discover how to piece different components together to develop smart buildings with the help of use cases and examples and get to grips with the various IoT stacks. After finding out where to start developing the requirements for your project, you’ll uncover a recommended methodology to understand your current building systems and a process for determining what needs to be modified, along with new technology requirements.By the end of the audiobook, you’ll be able to design and build your own smart building initiative, turning your city into a smart city with one building at a time.

Cloud Identity Patterns and Strategies. Design enterprise cloud identity models with OAuth 2.0 and Azure Active Directory

Giuseppe Di Federico, Fabrizio Barcaroli

Identity is paramount for every architecture design, making it crucial for enterprise and solutions architects to understand the benefits and pitfalls of implementing identity patterns. However, information on cloud identity patterns is generally scattered across different sources and rarely approached from an architect’s perspective, and this is what Cloud Identity Patterns and Strategies aims to solve, empowering solutions architects to take an active part in implementing identity solutions.Throughout this audiobook, you’ll cover various theoretical topics along with practical examples that follow the implementation of a standard de facto identity provider (IdP) in an enterprise, such as Azure Active Directory. As you progress through the chapters, you’ll explore the different factors that contribute to an enterprise's current status quo around identities and harness modern authentication approaches to meet specific requirements of an enterprise. You’ll also be able to make sense of how modern application designs are impacted by the company’s choices and move on to recognize how a healthy organization tackles identity and critical tasks that the development teams pivot on.By the end of this audiobook, you’ll be able to breeze through creating portable, robust, and reliable applications that can interact with each other.

iOS Forensics for Investigators. Take mobile forensics to the next level by analyzing, extracting, and reporting sensitive evidence

Gianluca Tiepolo

Professionals working in the mobile forensics industry will be able to put their knowledge to work with this practical guide to learning how to extract and analyze all available data from an iOS device.This audiobook is a comprehensive, how-to guide that leads investigators through the process of collecting mobile devices and preserving, extracting, and analyzing data, as well as building a report. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book starts by covering the fundamentals of mobile forensics and how to overcome challenges in extracting data from iOS devices. Once you've walked through the basics of iOS, you’ll learn how to use commercial tools to extract and process data and manually search for artifacts stored in database files. Next, you'll find out the correct workflows for handling iOS devices and understand how to extract valuable information to track device usage. You’ll also get to grips with analyzing key artifacts, such as browser history, the pattern of life data, location data, and social network forensics.By the end of this audiobook, you'll be able to establish a proper workflow for handling iOS devices, extracting all available data, and analyzing it to gather precious insights that can be reported as prosecutable evidence.

Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models

Ali Madani, Stephen MacKinnon

Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the expertise essential for building reliable, high-performance models for industrial applications. Whether you're a data scientist, analyst, machine learning engineer, or Python developer, this book will empower you to design modular systems for data preparation, accurately train and test models, and seamlessly integrate them into larger technologies.By bridging the gap between theory and practice, you'll learn how to evaluate model performance, identify and address issues, and harness recent advancements in deep learning and generative modeling using PyTorch and scikit-learn. Your journey to developing high quality models in practice will also encompass causal and human-in-the-loop modeling and machine learning explainability. With hands-on examples and clear explanations, you'll develop the skills to deliver impactful solutions across domains such as healthcare, finance, and e-commerce.

Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.

Enterprise LMS with Adobe Learning Manager. Design and develop world-class learning experiences for your employees, partners, and customers

Damien Bruyndonckx, Sean Mullen

Looking to deliver scalable online learning solutions? Adobe's latest enterprise Learning Manager is a powerful learning management system (LMS) that enables organizations to deliver, manage, and track immersive learning experiences. This book unlocks the full potential of Learning Manager, guiding you to become an adept administrator, author, or teacher, experimenting with Learning Manager from different perspectives.You'll gain an in-depth understanding of the features and their impact on your business. From platform setup to course administration, you’ll be able to create blended learning experiences, deploy your content to different devices, and explore Learning Manager's features for monitoring your students' progress on a daily basis. Finally, you'll discover techniques for organizing and maintaining your course catalog while elevating the learner experience.By the end of the book, you’ll be able to implement your organization’s training strategy, deliver engaging learning experiences, and generate meaningful reports to monitor their effectiveness.

IPython Notebook Essentials. Compute scientific data and execute code interactively with NumPy and SciPy

Luiz Felipe Martins

CUPS Administrative Guide. A practical tutorial to installing, managing, and securing this powerful printing system

Ankur Shah

JBoss EAP6 High Availability. From the basic uses of JBoss EAP6 through to advanced clustering techniques, this book is the perfect way to learn how to achieve a system designed for high availability. All that's required is some basic knowledge of Linux/Unix

Weinan Li

High availability is a system design approach and associated service implementation which ensures that a prearranged level of operational performance will be met during a contractual measurement period. High availability is usually a system combined with many different components that achieve different goals. High availability cluster implementations attempt to build redundancy into a cluster to eliminate single points of failure.JBoss EAP6 High Availability is the perfect guide for learning how to apply the newest technologies provided by JBoss to build your high availability system. With a clear explanation of the design of JBoss EAP6 and its clustering components, this book will help you customize each component to fulfill your specific requirements.Throughout the course of this book, you will learn how to build high availability clusters using the projects provided by JBoss. The book begins with an introduction to the design of JBoss EAP6 and its uses. The next step will be to explore the two companion open source projects - mod_jk and mod_cluster. In this section, you will get to grips with the concept of load balancing with mod_jk and mod_cluster. You will also learn how to enable SSL in the clustering environment and how to configure session replication between EAP6 servers. Furthermore, the appendix section introduces you to some troubleshooting techniques for Wildfly.

AWS Certified Security - Specialty (SCS-C02) Exam Guide. Get all the guidance you need to pass the AWS (SCS-C02) exam on your first attempt - Second Edition

Adam Book, Stuart Scott

The AWS Certified Security – Specialty exam validates your expertise in advanced cloud security, a crucial skill set in today's cloud market. With the latest updates and revised study material, this second edition provides an excellent starting point for your exam preparation.You’ll learn the fundamentals of core services, which are essential prerequisites before delving into the six domains covered in the exam. The book addresses various security threats, vulnerabilities, and attacks, such as DDoS attacks, offering insights into effective mitigation strategies at different layers. You’ll learn different tools available in Amazon Web Services (AWS) to secure your Virtual Private Cloud and allow the correct traffic to travel securely to your workloads. As you progress, you’ll explore the intricacies of AWS EventBridge and IAM services. Additionally, you’ll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices such as PCs, tablets, and smartphones.Ultimately, armed with the knowledge and skills acquired from this AWS security guide, you'll be well-prepared to pass the exam and design secure AWS solutions with confidence.

Privilege Escalation Techniques. Learn the art of exploiting Windows and Linux systems

Alexis Ahmed

Privilege Escalation Techniques is a detailed guide to privilege escalation techniques and tools for both Windows and Linux systems. This is a one-of-a-kind resource that will deepen your understanding of both platforms and provide detailed, easy-to-follow instructions for your first foray into privilege escalation. The book uses virtual environments that you can download to test and run tools and techniques. After a refresher on gaining access and surveying systems, each chapter will feature an exploitation challenge in the form of pre-built virtual machines (VMs). As you progress, you will learn how to enumerate and exploit a target Linux or Windows system. You’ll then get a demonstration on how you can escalate your privileges to the highest level.By the end of this book, you will have gained all the knowledge and skills you need to be able to perform local kernel exploits, escalate privileges through vulnerabilities in services, maintain persistence, and enumerate information from the target such as passwords and password hashes.

Microsoft BizTalk 2010: Line of Business Systems Integration. A practical guide to integrating Line of Business systems with BizTalk Server 2010

Carl Darski, Thiago Almeida, Sergei Moukhnitski, Richard Seroter, ...

Microsoft BizTalk is an integration and connectivity server solution that allows businesses to connect disparate systems easily. In today’s business climate of mergers and acquisitions, more and more enterprises are forced to exchange data across disparate Line of Business systems using integration brokers like BizTalk Server 2010. What is often overlooked when integrating these systems is the pre-requisite knowledge that ERP and CRM systems demand in order to effectively integrate them. No longer is this knowledge locked up in the heads of expensive consultants. Gain an edge within your organization by developing valuable skills in the area of Line of Business integration from this book.This book will show you how to integrate BizTalk with Line of Business systems using practical scenarios. Each chapter will take a Line of Business system, introduce some pre-requisite knowledge and demonstrate how you can integrate BizTalk with that Line of Business system, and then provide guidance based upon real world experience, taking your BizTalk knowledge further.This book will enable you to master how to integrate BizTalk with Line of Business systems effectively. The book starts by highlighting the technical foundation of WCF-LOB adapters and the common steps and important properties pertaining to popular WCF-LOB adapters. You will then move on to an overview of how to integrate with Microsoft SQL Server using the WCF based SQL Server adapter. The book then dives into topics such as integrating BizTalk Server with Microsoft Dynamics CRM, building BizTalk/SAP integrated solutions using IDocs, the differences between IDocs and RFCs/BAPIs, and integrating BizTalk with Windows Azure AppFabric Service Bus amongst others.

Building Industrial Digital Twins. Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins

Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs

Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs.The audiobook begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The audiobook equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques.By the end of this audiobook, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle.

Data Modeling for Azure Data Services. Implement professional data design and structures in Azure

Peter ter Braake

Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation.Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory.By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution.

Ext JS Application Development Blueprints. Develop robust and maintainable projects that exceed client expectations using Ext JS

Abdullah Al Mohammad, Colin Ramsay