Information Security Policies, Procedures, and Standards: A Practitioner's Reference gives you a blueprint on how to develop effective information security policies and procedures. It uses standards such as NIST 800-53, ISO 27001, and COBIT, and regulations such as HIPAA and PCI DSS as the foundation for the content. Highlighting key terminology, policy development concepts and methods, and suggested document structures, it includes examples, checklists, sample policies and procedures, guidelines, and a synopsis of the applicable standards. The author explains how and why procedures are developed and implemented rather than simply provide information and examples. This is an important distinction because no two organizations are exactly alike; therefore, no two sets of policies and procedures are going to be exactly alike. This approach provides the foundation and understanding you need to write effective policies, procedures, and standards clearly and concisely. Developing policies and procedures may seem to be an overwhelming task. However, by relying on the material presented in this book, adopting the policy development techniques, and examining the examples, the task will not seem so daunting. You can use the discussion material to help sell the concepts, which may be the most difficult aspect of the process. Once you have completed a policy or two, you will have the courage to take on even more tasks. Additionally, the skills you acquire will assist you in other areas of your professional and private life, such as expressing an idea clearly and concisely or creating a project plan.

'The Project Manager's Toolkit' provides a quick reference checklist approach to drive an IT development project as well as solve issues that arise in the process. It can be used proactively to set a project on the right course and reactively for solutions to problems. It will: * help identify what needs doing next on an IT project * provide quick reference 'to-do' lists for use throughout the lifecycle of an IT project * answer the need for material that can be used to quality-check project deliverables It has been designed so that those on the project team who are facing a problem can pick up the book, turn to a relevant checklist and use it as a "starter-for-ten" to find a solution. For example, how to analyse data for a data-conversion exercise, or how to measure the quality of a project deliverable. 'The Project Manager's Toolkit' therefore provides a fast way to reduce an insolvable problem/issue to a set of smaller solvable ones

"Fundamentals of Wearable Computers and Augmented Reality" presents a broad coverage of the technologies and interface design issues associated with wearable computers and augmented reality displays both rapidly developing fields in computer science, engineering, and human interface design. This book presents concepts related to the use and underlying technologies of augmented reality and wearable computer systems. There are many application areas for this technology, such as medicine, manufacturing, training, and recreation. Wearable computers will allow a much closer association of information with the user than is possible with traditional desktop computers.
This book addresses an important aspect of wearable computers and augmented reality, either from the conceptual or from an application framework. Given the wide coverage of topics on issues related to the display of computer-generated images in the environment, this book can be used as a text for computer science, computer engineering, and interface design courses.

This book provides insights on how to approach and utilize data science tools, technologies and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI-technologies, and their inter-connections. Description of various technology and methodology approaches, and their purpose and benefits when developing AI-solution in industrial contexts is included. In addition, it summarizes experiences from AI technology deployment projects from several industrial sectors. Features: Presents compendium of methodologies and technologies in Industrial AI and digitalization. Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept. Covers a broad range of academic and industrial issues within the field of asset management. Discusses impact of Industry 4.0 in other sectors. Includes a dedicated chapter on real-time case studies. This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and ML, engineering managers, operational and maintenance specialists, asset managers, digital and AI manufacturing specialists.

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast - how size scaling drives performance; Implicit parallelism - how a sequential program can be executed faster with parallelism; Dynamic locality - skirting physical limits, by arranging data in a smaller space; Parallelism - increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.

Proven best practices for success with every Azure monitoring and management service For cloud environments to deliver optimal value, their monitoring and management services must be designed, deployed, and managed well. Leading cloud consultant Avinash Valiramani shows how to simplify administration, reduce downtime, control cost, solve problems faster, and prepare for any workload in any environment. Explore detailed, expert coverage of Azure Backup, Azure Site Recovery, Azure Migrate, Azure Monitor, Azure Network Watcher, Azure Portal, Azure Cloud Shell, Azure Service Health, Azure Cost Management, and more. Whatever your role in delivering effi cient, reliable cloud services, this best practice, deep dive guide will help you make the most of your Azure investment. Leading Azure consultant Avinash Valiramani shows how to: Back up on-premises, Azure-based, and other cloud workloads for short- and long-term retention Implement simple, stable, cost-effective business continuity/disaster recovery with Azure Site Recovery Discover, assess, and migrate diverse workloads to Azure, VMs, web apps, databases, and more Monitor all Azure applications, VMs, and other deployed services centrally via Azure Monitor Track, troubleshoot, and optimize networking for IaaS resources Create and manage anything from single-service solutions to complex multi-service architectures Run Azure Cloud Shell's cloud-native command line from any device, anywhere Monitor service health, workload levels, service layer resources, and availability Also look for these Definitive Guides to Azure success: Microsoft Azure Compute: The Definitive Guide Microsoft Azure Networking: The Definitive Guide Microsoft Azure Storage: The Definitive Guide

Experts from Andersen Consulting show you how to combine computing, communications, and knowledge to deliver a uniquely new-and entirely indispensable-competitive advantage.

Lead, Follow, or get out of the way
Your company's ability to sustain a competitive advantage is in jeopardy. Your competitors can imitate and improve faster than ever. You need to find ways to help your company discover and deliver and astounding solution, control its costs, and move on the next astounding solution.

Web-based computing is the vital technology enabler for today's most important business opportunities, like E-Commerce. It is also the flexible foundation for future solutions. However, because of the complexities and difficulties it represents, it can be critical hurdle for IT shops and for an entire business.

Enterprise Systems Architecture: Building Client/Server and Web-Based Systems is your guide through these complexities as you integrate your technology capabilities with your strategy, people, and processes to deliver astounding solutions. It
· Introduces you to basic principles and concepts, provides an overview of state-of-the-art in client/server and Web-based computing models, and develops a solid business case for implementation.
· Acquaints you with various technologies involved and describes a comprehensive network computing architecture.
· Details crucial analysis, design, and implementation issues, including design specifics for architectures, applications, and network; rollout strategies; and ongoing management of distributed operations.
· Explores emerging technologies and their likely impact on the future of netcentric computing.

Here you'll find detailed information on the architectures and frameworks for network-based computing … strategies for designing and implementing solutions … strategies and methods for security. It also provides a full framework for testing applications, and in-depth discussion of transition frameworks for these environments, detailed costs and frameworks for managing the client/server environment, and much more.

This book applies both industrial engineering and computational intelligence to demonstrate intelligent machines that solve real-world problems in various smart environments. The title presents fundamental concepts and the latest advances in Multi-Criteria Decision Making (MCDM) techniques and their application to smart environments. Though managers and engineers often use multi-criteria analysis in making complex decisions, many core problems are too difficult to model mathematically or have simply not yet been modelled. In response, as well as AI-based approaches, this book covers various optimization techniques, decision analytics and data science in applying soft computing techniques to a defined set of smart environments, including smart and sustainable cities, disaster response systems and smart campuses. This state-of-the-art book will be essential reading for both undergraduate and graduate students, researchers, practitioners and decision makers interested in advanced MCDM techniques for management and engineering in relation to smart environments.

1. The book will discuss most relevant real-life applications and case studies of Network Technologies. 2. The book will provide deeper knowledge regarding emerging research trends and future research directions in Network Technologies. 3. The book will provide theoretical, algorithmic, simulation, and implementation-based research developments in Network Technologies. 4. The book will follow theoretical approach to describe fundamentals of Network Technologies for the beginners as well as practical approach to depict simulation and implementation of real-life applications for intermediate and advanced readers.

Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform's simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Compare Terraform with Chef, Puppet, Ansible, CloudFormation, Docker, and Packer Deploy servers, load balancers, and databases Create reusable infrastructure with Terraform modules Test your Terraform modules with static analysis, unit tests, and integration tests Configure CI/CD pipelines for both your apps and infrastructure code Use advanced Terraform syntax for loops, conditionals, and zero-downtime deployment New to the third edition: Get up to speed on Terraform 0.13 to 1.0 and beyond Manage secrets (passwords, API keys) with Terraform Work with multiple clouds and providers (including Kubernetes!)

About PowerPoint 2000 Traditionally, presenters have had to travel to reach audiences in different parts of the world. With today's technologies, this is no longer necessary. Using Microsoft PowerPoint (R) 2000, presenters can now easily and inexpensively collaborate on presentations and show them to remote audiences without leaving their offices. PowerPoint 2000 offers new ease-of-use features that speed users through presentation development and help users deliver Web-based presentations to remote audiences. Let this NEW Made Simple book guide you through the new features of PowerPoint 2000 and help you make the most of the product.

The object oriented paradigm has become one of the dominant forces in the computing world. According to a recent survey, by the year 2000, more than 80% of development organizations are expected to use object technology as the basis for their distributed development strategies.
Handbook of Object Technology encompasses the entire spectrum of disciplines and topics related to this rapidly expanding field - outlining emerging technologies, latest advances, current trends, new specifications, and ongoing research.
The handbook divides into 13 sections, each containing chapters related to that specific discipline. Up-to-date, non-abstract information provides the reader with practical, useful knowledge - directly applicable to the understanding and improvement of the reader's job or the area of interest related to this technology.
Handbook of Object Technology discusses:
o the processes, notation, and tools for classical OO methodologies as well as information on future methodologies
o prevalent and emerging OO languages
o standards and specifications
o frameworks and patterns
o databases
o metrics
o business objects
o intranets
o analysis/design tools
o client/server application development environments

This book is about information systems development failures and how to avoid them.
It considers what goes wrong with information systems development projects and what actions may be taken to avoid potential difficulties.The reduction of the impact, or even the elimination of the problems, is discussed in terms of an information systems risk management programme.
Stop I.T.Project failure helps to ensure that IS project managers are successful in helping to deliver application systems. However, IS development risk can never be entirely eliminated and consequently the practitioner needs to bear in mind that an IS development project is never without risk, and hence there is a continuing potential for something to go wrong.
The book covers the key issues and variables and makes specific practical suggestions about the good management practice that is required to implement IS project risk processes.
Dr. Dan Remenyi has spent more than 25 years working in the field of corporate computers and information systems. He has worked with computers as an IS professional, business consultant and user. In all these capacities he has been primarily concerned with benefit realisation and obtaining the maximum value for money from the organisations' information systems investment and effort. He has worked extensively in the field of information systems project management, specialising in the area of project risk identification and management. He has written a number of books and papers in the field of IT management and regularly conducts courses and seminars as well as working as a consultant in this area. Dr.Dan Remenyi holds a B.Soc.Sc., an MBA and a PhD. He is a Visiting Professor atChalmers University of Technology in Gothenberg, Sweden and an associate member of faculty at Henley Management College in the United Kingdom.
asks what goes wrong with IT projects
shows how to perform a financial analysis for the risks looks at how to minimise the impact
shows you how to manage a risk program

Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.

Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.

Over the last fifteen years GIS has become a fully-fledged technology, deployed across a range of application areas. However, although computer advances in performance appear to continue unhindered, data volumes and the growing sophistication of analysis procedures mean that performance will increasingly become a serious concern in GIS. Parallel computing offers a potential solution. However, traditional algorithms may not run effectively in a parallel environment, so utilization of parallel technology is not entirely straightforward. This groundbreaking book examines some of the current strategies facing scientists and engineers at this crucial interface of parallel computing and GIS.; The book begins with an introduction to the concepts, terminology and techniques of parallel processing, with particular reference to GIS. High level programming paradigms and software engineering issues underlying parallel software developments are considered and emphasis is given to designing modular reusable software libraries. The book continues with problems in designing parallel software for GIS applications, potential vector and raster data structures and details the algorithmic design for some major GIS operations. An implementation case study is included, based around a raster generalization problem, which illustrates some of the principles involved. Subsequent chapters review progress in parallel database technology in a GIS environment and the use of parallel techniques in various application areas, dealing with both algorithmic and implementation issues.; "Parallel Processing Algorithms for GIS" should be a useful text for a new generation of GIS professionals whose principal concern is the challenge of embracing major computer performance enhancements via parallel computing. Similarly, it should be an important volume for parallel computing professionals who are increasingly aware that GIS offers a major application domain for their technology.

Developing today's complex systems requires "more" than just good software engineering solutions. Many are faced with complex systems projects, incomplete or inaccurate requirements, canceled projects, or cost overruns, and have their systems' users in revolt and demanding more. Others want to build user-centric systems, but fear managing the process. This book describes an approach that brings the engineering process together with human performance engineering and business process reengineering. The result is a manageable user-centered process for gathering, analyzing, and evaluating requirements that can vastly improve the success rate in the development of medium-to-large size systems and applications.
Unlike some texts that are primarily conceptual, this volume provides guidelines, "how-to" information, and examples, enabling the reader to quickly apply the process and techniques to accomplish the following goals:
* define high quality requirements,
* enhance productive client involvement,
* help clients maintain competitiveness,
* ensure client buy-in and support throughout the process,
* reduce missing functionality and corrections, and
* improve user satisfaction with systems.
This volume clearly details the role of user-centered requirements and knowledge acquisition within Scenario-Based Engineering Process (SEP) and identifies SEP products and artifacts. It assists project personnel in planning and managing effective requirements activities, including managing risks, avoiding common problems with requirements elicitation, organizing project participants and tools, and managing the logistics. Guidelines are provided for the following: selecting the right individual and group techniques to elicit scenarios and requirements from users; subject matter experts, or other shareholders; and ensuring engineers or analysts have the necessary skills.

The high failure rate of enterprise resource planning (ERP) projects is a pressing concern for both academic researchers and industrial practitioners. The challenges of an ERP implementation are particularly high when the project involves designing and developing a system from scratch. Organizations often turn to vendors and consultants for handling such projects but, every aspect of an ERP project is opaque for both customers and vendors. Unlocking the mysteries of building a large-scale ERP system, The Adventurous and Practical Journey to a Large-Scale Enterprise Solution tells the story of implementing an applied enterprise solution. The book covers the field of enterprise resource planning by examining state-of-the-art concepts in software project management methodology, design and development integration policy, and deployment framework, including: A hybrid project management methodology using waterfall as well as a customized Scrum-based approach A novel multi-tiered software architecture featuring an enhanced flowable process engine A unique platform for coding business processes efficiently Integration to embed ERP modules in physical devices A heuristic-based framework to successfully step into the Go-live period Written to help ERP project professionals, the book charts the path that they should travel from project ideation to systems implementation. It presents a detailed, real-life case study of implementing a large-scale ERP and uses storytelling to demonstrate incorrect and correct decisions frequently made by vendors and customers. Filled with practical lessons learned, the book explains the ins and outs of adopting project methodologies. It weaves a tale that features both real-world and scholarly aspects of an ERP implementation.

Developing today's complex systems requires "more" than just good software engineering solutions. Many are faced with complex systems projects, incomplete or inaccurate requirements, canceled projects, or cost overruns, and have their systems' users in revolt and demanding more. Others want to build user-centric systems, but fear managing the process. This book describes an approach that brings the engineering process together with human performance engineering and business process reengineering. The result is a manageable user-centered process for gathering, analyzing, and evaluating requirements that can vastly improve the success rate in the development of medium-to-large size systems and applications.
Unlike some texts that are primarily conceptual, this volume provides guidelines, "how-to" information, and examples, enabling the reader to quickly apply the process and techniques to accomplish the following goals:
* define high quality requirements,
* enhance productive client involvement,
* help clients maintain competitiveness,
* ensure client buy-in and support throughout the process,
* reduce missing functionality and corrections, and
* improve user satisfaction with systems.
This volume clearly details the role of user-centered requirements and knowledge acquisition within Scenario-Based Engineering Process (SEP) and identifies SEP products and artifacts. It assists project personnel in planning and managing effective requirements activities, including managing risks, avoiding common problems with requirements elicitation, organizing project participants and tools, and managing the logistics. Guidelines are provided for the following: selecting the right individual and group techniques to elicit scenarios and requirements from users; subject matter experts, or other shareholders; and ensuring engineers or analysts have the necessary skills.

Based on a symposium honoring the extensive work of Allen Newell -- one of the founders of artificial intelligence, cognitive science, human-computer interaction, and the systematic study of computational architectures -- this volume demonstrates how unifying themes may be found in the diversity that characterizes current research on computers and cognition. The subject matter includes:
* an overview of cognitive and computer science by leading researchers in the field;
* a comprehensive description of Allen Newell's "Soar" -- a computational architecture he developed as a unified theory of cognition;
* commentary on how the Soar theory of cognition relates to important issues in cognitive and computer science;
* rigorous treatments of controversial issues in cognition -- methodology of cognitive science, hybrid approaches to machine learning, word-sense disambiguation in understanding material language, and the role of capability processing constraints in architectural theory;
* comprehensive and systematic methods for studying architectural evolution in both hardware and software;
* a thorough discussion of the use of analytic models in human computer interaction;
* extensive reviews of important experiments in the study of scientific discovery and deduction; and
* an updated analysis of the role of symbols in information processing by Herbert Simon.
Incorporating the research of top scientists inspired by Newell's work, this volume will be of strong interest to a large variety of scientific communities including psychologists, computational linguists, computer scientists and engineers, and interface designers. It will also be valuable to those who study the scientific process itself, as it chronicles the impact of Newell's approach to research, simultaneously delving into each scientific discipline and producing results that transcend the boundaries of those disciplines.

The third edition of Digital Logic Techniques provides a clear and comprehensive treatment of the representation of data, operations on data, combinational logic design, sequential logic, computer architecture, and practical digital circuits. A wealth of exercises and worked examples in each chapter give students valuable experience in applying the concepts and techniques discussed. Beginning with an objective comparison between analogue and digital representation of data, the author presents the Boolean algebra framework for digital electronics, develops combinational logic design from first principles, and presents cellular logic as an alternative structure more relevant than canonical forms to VLSI implementation. He then addresses sequential logic design and develops a strategy for designing finite state machines, giving students a solid foundation for more advanced studies in automata theory. The second half of the book focuses on the digital system as an entity. Here the author examines the implementation of logic systems in programmable hardware, outlines the specification of a system, explores arithmetic processors, and elucidates fault diagnosis. The final chapter examines the electrical properties of logic components, compares the different logic families, and highlights the problems that can arise in constructing practical hardware systems.

Blockchain: A Hype or a Hoax? fills a gap in the book market to provide material that is not only technical but also caters to business readers. This book was written to keep in mind various stakeholders and the current gap in blockchain education as well as use case implementation. This book reviews blockchain technology, discusses why proof of concept fails, offers examples of use cases that have been successful and that have failed and articulates a framework that should be used before deciding whether blockchain is the right technology for transformation. It uses strategic models and frameworks to assist organisations to see a fit score for their specific use cases. This book provides guidance on how to create a blockchain strategy and a business case to pitch for the budget. It also includes a case study to apply the knowledge on practical use cases for blockchain and a technical overview of most of the blockchain use cases in the market including crypto, non-fungible tokens, decentralised finance, and decentralised autonomous organisations, as well as financial and non-financial industry use cases. This book also provides a detailed overview of most of the mainstream blockchain products currently available in the market. It also offers guidance on how readers can best educate themselves on blockchain technology that is available through commercial and free resources. It concludes with a clear direction on selecting blockchain to solve real-life use cases that are best fit. A financial and non-financial value-adding framework is discussed throughout this book to assist business leaders, programme managers, product managers and information technology leaders to make strategic choices, and business cases and develop strategies for digital transformation through the use of blockchain. The distinctive feature of this book is the critical analysis of blockchain from a technology and business perspective. This is the first book to focus on business, technology and blockchain selection framework. The most unique feature of this book would be to apply Michael Porter's competitive advantage strategy theory on blockchain use cases and their impact on companies. This book is aimed at technology students, technology professionals, blockchain and fintech consultant and business leaders. It will also be useful for readers who are building a business case to adopt blockchain into an organisation or are seeking to grow their knowledge of blockchain and improve their fintech strategy.

New Work and Industry 4.0 have matured and this book takes a practical, experience-based approach to project management in these areas. It introduces methods and covers the practical aspects. It critically examines existing approaches and practices and shows their limitations. The book covers appropriate methods as well as human and social aspects. It contributes to the ongoing discussion of business practices and methods. It also aims to stimulate dialogue in the professional community. Digital Project Practice for New Work and Industry 4.0 begins by introducing basic concepts in the context of Industry 4.0 and discussing how they might influence organizational communication and impact the work environment. After examining the possibilities and challenges of remote work and collaboration in distributed teams all over the world, the book looks at a company's fundamental changes related to New Work from a practical business perspective as well as legal and ethical perspectives. It reviews the case of the VW emission scandal and recommends ways to improve corporate culture. Legal issues include New Work and hybrid forms of collaboration as well as liability for automated decisions (i.e., the potential need for an 'electronic person'). Other implications for the workplace include how: Industry 4.0 might influence the potential demand for "Digital Unions" Industry 4.0, and lean production, and their applications can change industrial practices Open Banking presents new approaches and new business models Work structures and systems can empower employees' work self-management This book also looks at how New Work effects individual workers. It addresses digital stress, introduces strategies for coping with it, and discusses related topics. It also explores the benefits of meditation and the economics of mind, body, and spirit. In essence, this book cover appropriate methods along with human and social factors. It also covers practice, different perspectives, and various experiences from all around the globe. Contributing to the ongoing discussion on business practices and methods, this book will nourish and stimulate dialogue in the professional community.

Most of the business sectors consider the Digital Twin concept as the next big thing in the industry. A current state analysis of their digital counterparts helps in the prediction of the future of physical assets. Organizations obtain better insights on their product performance through the implementation of Digital Twins, and the applications of the technology are frequently in sectors such as manufacturing, automobile, retail, health care, smart cities, industrial IoT, etc. This book explores the latest developments and covers the significant challenges, issues, and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries, as well as anybody interested in learning more about this nascent technology. This book includes: The future, present, and past of Digital Twin Technology. Digital twin technologies across the Internet of Drones, which developed various perceptive and autonomous capabilities, towards different control strategies such as object detection, navigation, security, collision avoidance, and backup. These approaches help to deal with the expansive growth of big data solutions. The recent digital twin concept in agriculture, which offers the vertical framing by IoT installation development to enhance the problematic food supply situation. It also allows for significant energy savings practices. It is highly required to overcome those challenges in developing advanced imaging methods of disease detection & prediction to achieve more accuracy in large land areas of crops. The welfare of upcoming archetypes such as digitalization in forensic analysis. The ideas of digital twin have arisen to style the corporeal entity and associated facts reachable software and customers over digital platforms. Wind catchers as earth building: Digital Twins vs. green sustainable architecture.

#1 Best Selling Information Security Book by Taylor & Francis in 2019, 2020 and 2021 2020 Cybersecurity CANON Hall of Fame Winner Todd Fitzgerald, co-author of the ground-breaking (ISC)2 CISO Leadership: Essential Principles for Success, Information Security Governance Simplified: From the Boardroom to the Keyboard, co-author for the E-C Council CISO Body of Knowledge, and contributor to many others including Official (ISC)2 Guide to the CISSP CBK, COBIT 5 for Information Security, and ISACA CSX Cybersecurity Fundamental Certification, is back with this new book incorporating practical experience in leading, building, and sustaining an information security/cybersecurity program. CISO COMPASS includes personal, pragmatic perspectives and lessons learned of over 75 award-winning CISOs, security leaders, professional association leaders, and cybersecurity standard setters who have fought the tough battle. Todd has also, for the first time, adapted the McKinsey 7S framework (strategy, structure, systems, shared values, staff, skills and style) for organizational effectiveness to the practice of leading cybersecurity to structure the content to ensure comprehensive coverage by the CISO and security leaders to key issues impacting the delivery of the cybersecurity strategy and demonstrate to the Board of Directors due diligence. The insights will assist the security leader to create programs appreciated and supported by the organization, capable of industry/ peer award-winning recognition, enhance cybersecurity maturity, gain confidence by senior management, and avoid pitfalls. The book is a comprehensive, soup-to-nuts book enabling security leaders to effectively protect information assets and build award-winning programs by covering topics such as developing cybersecurity strategy, emerging trends and technologies, cybersecurity organization structure and reporting models, leveraging current incidents, security control frameworks, risk management, laws and regulations, data protection and privacy, meaningful policies and procedures, multi-generational workforce team dynamics, soft skills, and communicating with the Board of Directors and executive management. The book is valuable to current and future security leaders as a valuable resource and an integral part of any college program for information/ cybersecurity.