Видавець: K-i-s-publishing
Gerard Johansen
Digital Forensics and Incident Response will guide you through the entire spectrum of tasks associated with incident response, starting with preparatory activities associated with creating an incident response plan and creating a digital forensics capability within your own organization. You will then begin a detailed examination of digital forensic techniques including acquiring evidence, examining volatile memory, hard drive assessment, and network-based evidence. You will also explore the role that threat intelligence plays in the incident response process. Finally, a detailed section on preparing reports will help you prepare a written report for use either internally or in a courtroom.By the end of the book, you will have mastered forensic techniques and incident response and you will have a solid foundation on which to increase your ability to investigate such incidents in your organization.
Gerard Johansen
An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization's infrastructure from attacks. This updated second edition will help you perform cutting-edge digital forensic activities and incident response.After focusing on the fundamentals of incident response that are critical to any information security team, you’ll move on to exploring the incident response framework. From understanding its importance to creating a swift and effective response to security incidents, the book will guide you with the help of useful examples. You’ll later get up to speed with digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. As you progress, you’ll discover the role that threat intelligence plays in the incident response process. You’ll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis, and demonstrate how you can proactively use your digital forensic skills in threat hunting.By the end of this book, you’ll have learned how to efficiently investigate and report unwanted security breaches and incidents in your organization.
Gerard Johansen
An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization’s infrastructure from attacks. This updated third edition will help you perform cutting-edge digital forensic activities and incident response with a new focus on responding to ransomware attacks.After covering the fundamentals of incident response that are critical to any information security team, you’ll explore incident response frameworks. From understanding their importance to creating a swift and effective response to security incidents, the book will guide you using examples. Later, you’ll cover digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. You’ll be able to apply these techniques to the current threat of ransomware. As you progress, you’ll discover the role that threat intelligence plays in the incident response process. You’ll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis and demonstrate how you can proactively use your digital forensic skills in threat hunting.By the end of this book, you’ll be able to investigate and report unwanted security breaches and incidents in your organization.
Shiva V. N. Parasram
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.
Shiva V. N. Parasram, Alex Samm, Dale...
Kali Linux is a Linux-based distribution that's widely used for penetration testing and digital forensics. It has a wide range of tools to help for digital forensics investigations and incident response mechanisms.This updated second edition of Digital Forensics with Kali Linux covers the latest version of Kali Linux and The Sleuth Kit. You'll get to grips with modern techniques for analysis, extraction, and reporting using advanced tools such as FTK Imager, hex editor, and Axiom. Updated to cover digital forensics basics and advancements in the world of modern forensics, this book will also delve into the domain of operating systems. Progressing 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. The book will also show you how to create forensic images of data and maintain integrity using hashing tools. Finally, you'll cover advanced topics such as autopsies and acquiring investigation data from networks, operating system memory, and quantum cryptography.By the end of this book, you'll have gained hands-on experience of implementing all the pillars of digital forensics: acquisition, extraction, analysis, and presentation, all using Kali Linux tools.
Shiva V. N. Parasram
Kali Linux is a Linux-based distribution used mainly for penetration testing and digital forensics. It has a wide range of tools to help in forensics investigations and incident response mechanisms. You will start by understanding the fundamentals of digital forensics and setting up your Kali Linux environment to perform different investigation practices. The book will delve into the realm of operating systems and the various formats for file storage, including secret hiding places unseen by the end user or even the operating system. The book will also teach you to create forensic images of data and maintain integrity using hashing tools. Next, you will also master some advanced topics such as autopsies and acquiring investigation data from the network, operating system memory, and so on. The book introduces you to powerful tools that will take your forensic abilities and investigations to a professional level, catering for all aspects of full digital forensic investigations from hashing to reporting. By the end of this book, you will have had hands-on experience in implementing all the pillars of digital forensics—acquisition, extraction, analysis, and presentation using Kali Linux tools.
José Fernandes
Drupal is an open-source platform for building ambitious digital experiences. With this practical guide to digital marketing, developers working with Drupal will be able to put their knowledge to work and boost the performance of their online marketing campaigns.Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will take you through the most popular digital marketing techniques and how to apply them, including content marketing, email marketing, social media marketing, SEO, SEM, CRM, and marketing automation, and the latest developments in website personalization and AI marketing. Once you've learned the fundamentals of digital marketing, you'll see how to apply them to your Drupal website or online store. In addition, you'll discover how Drupal can help you better manage your tasks and automate some of them. The book will help you discover the free modules available, how to use them, and how to integrate Drupal with external marketing-related platforms and services.By the end of this Drupal digital marketing book, you'll be able to build and deploy a complete digital marketing platform on top of Drupal to reach a greater audience and achieve online success.
Bryon Kataoka, James Brennan, Ashish Aggarwal
IBM API Connect enables organizations to drive digital innovation using its scalable and robust API management capabilities across multi-cloud and hybrid environments. With API Connect's security, flexibility, and high performance, you'll be able to meet the needs of your enterprise and clients by extending your API footprint. This book provides a complete roadmap to create, manage, govern, and publish your APIs.You'll start by learning about API Connect components, such as API managers, developer portals, gateways, and analytics subsystems, as well as the management capabilities provided by CLI commands. You’ll then develop APIs using OpenAPI and discover how you can enhance them with logic policies. The book shows you how to modernize SOAP and FHIR REST services as secure APIs with authentication, OAuth2/OpenID, and JWT, and demonstrates how API Connect provides safeguards for GraphQL APIs as well as published APIs that are easy to discover and well documented. As you advance, the book guides you in generating unit tests that supplement DevOps pipelines using Git and Jenkins for improved agility, and concludes with best practices for implementing API governance and customizing API Connect components.By the end of this book, you'll have learned how to transform your business by speeding up the time-to-market of your products and increase the ROI for your enterprise.
Srikumar Nair
Microsoft Dataverse for Teams is a built-in, low-code data platform for Teams and enables everyone to easily build and deploy apps, flows, and intelligent chatbots using Power Apps, Power Automate, and Power Virtual Agents (PVA) embedded in Microsoft Teams.Without learning any coding language, you will be able to build apps with step-by-step explanations for setting up Teams, creating tables to store data, and leverage the data for your digital solutions. With the techniques covered in the book, you’ll be able to develop your first app with Dataverse for Teams within an hour! You’ll then learn how to automate repetitive tasks or build alerts using Power Automate and Power Virtual Agents. As you get to grips with building these digital solutions, you’ll also be able to understand when to consider upgrading from Dataverse for Teams to Dataverse, along with its advanced features. Finally, you’ll explore features for administration and governance and understand the licensing requirements of Microsoft Dataverse for Teams and PowerApps.Having acquired the skills to build and deploy an enterprise-grade digital solution, by the end of the book, you will have become a qualified citizen developer and be ready to lead a digital revolution in your organization.
Justin Stenning, Justin Stenning
Disaster Recovery and Business Continuity. A quick guide for organisations and business managers
IT Governance Publishing, Thejendra B.S
This book delves into disaster recovery (DR) and business continuity (BC), offering practical strategies for organizations to prepare for and manage disruptions. It starts by defining core concepts of DR and BC, highlighting their role in crisis management. Early chapters explore business impact analysis, data protection, and risk assessment, while examining common IT and non-IT disasters like data loss, cyberattacks, and communication failures.Later sections focus on specific disaster scenarios, such as virus attacks, software failures, and data center risks, offering prevention methods and recovery plans. It also addresses human factors in DR, covering IT staff and contractor management, and the risks tied to outsourcing and project failures.In addition to IT risks, the book explores non-IT disasters, including health crises, financial challenges, and natural events, with strategies for mitigation. The final chapters provide guidance on creating and testing contingency plans, featuring checklists and mock run procedures. This book empowers readers to design, implement, and maintain effective DR and BC plans for their organization’s needs.
Abhilash G B
VMware vCenter Site Recovery manage is an orchestration tool used to automate disaster recovery in a manner that no other solution does. It is programmed to leverage array-based replication and VMware's proprietary vSphere Replication engine.The book begins by talking about the architecture of SRM and guides you through the procedures involved in installing and configuring SRM to leverage array-based replication. You will then learn how to protect your virtual machines by creating Protection Groups and validate their recoverability by testing recovery plans and even performing failover and failback. Moving on, you will learn how to install and configure vSphere Replication as a standalone disaster recovery solution. It also guides you through the procedures involved in configuring SRM to leverage vSphere replication.Finally, you will learn how to deploy and configure vRealize Orchestrator and its plugin for SRM and vSphere Replication.
Nelson Enriquez, Juan Nelson, Samundar Singh Rathore
Business Intelligence is a type of technology that has been proven to support business decisions in an organization. MicroStrategy 9 is a fully-integrated BI platform that makes Business Intelligence faster, easier, and more user-friendly. It enables businesses to generate their own reports and dashboards without the need for technical knowledge.This practical, hands-on guide will provide Business Intelligence for executives, as well as enable BI reports and dashboards without the dependency of IT savvy personnel. It will allow you to design, build, and share business relevant data in hours, in a secure way, including mobile devices and show you how to leverage your transactional information.This example-oriented book looks at the value proposition of cloud computing and the MicroStrategy platform, and features practical exercises for BI reports and dashboard enablement, including the design phase and best practices for when we design a BI report.The book begins with an exploration of MicroStrategy along with typical business needs. Our focus then shifts to best practices for BI reports and dashboard definitions from the functional stand point, with easy-to-do exercises that will allow you to enable the reports in the platform. You will learn about scorecards and dashboards, along with sharing the reports. Next, you will get acquainted with cloud-based services provided by the MicroStrategy platform. By the end of this book, you will able to design, enable, and share BI reports and dashboards without the need for comprehensive technical knowledge, and leverage the latest technology on the market.
Distributed Computing in Java 9. Leverage the latest features of Java 9 for distributed computing
Raja Malleswara Rao Malleswara Rao Pattamsetti
Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.
Distributed Computing with Go. Practical concurrency and parallelism for Go applications
V.N. Nikhil Anurag
Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.
Rasheedh B, Francesco Pierfederici
CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.
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.
Guanhua Wang
Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.
Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani
Building distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.By the end of this book, you'll have developed the confidence and skills required to build distributed applications using Microsoft Orleans and deploy them in Microsoft Azure.
Jeremiah Ginn, David H. Brown
The SASE concept was coined by Gartner after seeing a pattern emerge in cloud and SD-WAN projects where full security integration was needed. The market behavior lately has sparked something like a space race for all technology manufacturers and cloud service providers to offer a SASE solution. The current training available in the market is minimal and manufacturer-oriented, with new services being released every few weeks. Professional architects and engineers trying to implement SASE need to take a manufacturer-neutral approach.This guide provides a foundation for understanding SASE, but it also has a lasting impact because it not only addresses the problems that existed at the time of publication, but also provides a continual learning approach to successfully lead in a market that evolves every few weeks. Technology teams need a tool that provides a model to keep up with new information as it becomes available and stay ahead of market hype.With this book, you’ll learn about crucial models for SASE success in designing, building, deploying, and supporting operations to ensure the most positive user experience (UX). In addition to SASE, you’ll gain insight into SD-WAN design, DevOps, zero trust, and next-generation technical education methods.
Miguel Angel Garcia-Ruiz, Pedro Cesar Santana Mancilla
We live in a world surrounded by electronic devices, and microcontrollers are the brains of these devices. Microcontroller programming is an essential skill in the era of the Internet of Things (IoT), and this book helps you to get up to speed with it by working through projects for designing and developing embedded apps with microcontroller boards.DIY Microcontroller Projects for Hobbyists are filled with microcontroller programming C and C++ language constructs. You'll discover how to use the Blue Pill (containing a type of STM32 microcontroller) and Curiosity Nano (containing a type of PIC microcontroller) boards for executing your projects as PIC is a beginner-level board and STM-32 is an ARM Cortex-based board. Later, you'll explore the fundamentals of digital electronics and microcontroller board programming. The book uses examples such as measuring humidity and temperature in an environment to help you gain hands-on project experience. You'll build on your knowledge as you create IoT projects by applying more complex sensors. Finally, you'll find out how to plan for a microcontroller-based project and troubleshoot it.By the end of this book, you'll have developed a firm foundation in electronics and practical PIC and STM32 microcontroller programming and interfacing, adding valuable skills to your professional portfolio.
Ayman Hourieh, Jacob Kaplan-Moss, Ayman Hourieh (EUR)
Django is a high-level Python web framework that was developed by a fast-moving online-news operation to meet the stringent twin challenges of newsroom deadlines and the needs of web developers. It is designed to promote rapid development and clean, pragmatic design and lets you build high-performing, elegant web applications rapidly. Django focuses on automating as much as possible and adhering to the DRY (Don't Repeat Yourself) principle, making it easier to build high-performance web applications faster, with less code.This book will show you how to assemble Django's features and take advantage of its power to design, develop, and deploy a fully-featured web site. It will walk you through the creation of an example web application, with lots of code examples.Specially revised for version 1.0 of Django, the book starts by introducing the main design concepts in Django. Next, it leads you through the process of installing Django on your system. After that, you will start right away on building your social bookmarking application using Django. Various Django 1.0 components and sub-frameworks will be explained during this process, and you will learn about them by example.In each chapter, you will build one or more of the features that are essential in Web 2.0 applications, like user management, tags, and AJAX. You will also learn about good software development practices, such as keeping your application secure, and automating testing with unit tests. By the end of the book, you will have built a fully functional real-life Web 2.0 application, and learned how to deploy it to a production server.