rajani sharma and rajender trivedi data security in a cloud environment using multilevel uec

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Marcia Kaufman Hybrid Cloud For Dummies

Choose the right combination of public, private, and data center resources to empower your business Hybrid clouds are transforming the way that organizations do business. This handy guide helps you find out what this new cloud deployment model is all about. You'll get down- to-earth information about cloud technology, questions to consider, and how to plan and deliver your move to a hybrid environment. Constructing the cloud – learn the basic concepts of the hybrid cloud from both a technical and business perspective Delivering cloud services – dive deeper into the actual foundational elements of the hybrid cloud Identifying business value – determine your hybrid cloud needs based on your business objectives Unified hybrid environments – find out what it means to create a computing environment that brings elements of the data center together with public and private cloud services Making it work – examine the steps you need to take to make this new architectural approach work – including security, governance, data, integration, monitoring, and more Get your ticket to the cloud – tips on how to talk to cloud providers and plan for the service you choose Open the book and find: Different cloud deployment models and what differentiates a hybrid cloud from other cloud models The impact of the hybrid cloud on cloud delivery models Why service orientation matters in a hybrid cloud Ways to develop and deploy applications in a hybrid world Guidance in finding the right hybrid cloud service providers Security and governance in a hybrid model The role of workload optimization in hybrid environments Learn to: Recognize the benefits and challenges of a hybrid cloud Efficiently deliver and manage cloud services Understand the impact of emerging cloud standards Protect customer data with sound security practices

1913.35 рублей

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Rudis Bob Data-Driven Security. Analysis, Visualization and Dashboards

Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

3831.6 рублей

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Ben Halpert Auditing Cloud Computing. A Security and Privacy Guide

The auditor's guide to ensuring correct security and privacy practices in a cloud computing environment Many organizations are reporting or projecting a significant cost savings through the use of cloud computing—utilizing shared computing resources to provide ubiquitous access for organizations and end users. Just as many organizations, however, are expressing concern with security and privacy issues for their organization's data in the «cloud.» Auditing Cloud Computing provides necessary guidance to build a proper audit to ensure operational integrity and customer data protection, among other aspects, are addressed for cloud based resources. Provides necessary guidance to ensure auditors address security and privacy aspects that through a proper audit can provide a specified level of assurance for an organization's resources Reveals effective methods for evaluating the security and privacy practices of cloud services A cloud computing reference for auditors and IT security professionals, as well as those preparing for certification credentials, such as Certified Information Systems Auditor (CISA) Timely and practical, Auditing Cloud Computing expertly provides information to assist in preparing for an audit addressing cloud computing security and privacy for both businesses and cloud based service providers.

4150.9 рублей

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Russell Vines Dean Cloud Security. A Comprehensive Guide to Secure Cloud Computing

Well-known security experts decipher the most challenging aspect of cloud computing-security Cloud computing allows for both large and small organizations to have the opportunity to use Internet-based services so that they can reduce start-up costs, lower capital expenditures, use services on a pay-as-you-use basis, access applications only as needed, and quickly reduce or increase capacities. However, these benefits are accompanied by a myriad of security issues, and this valuable book tackles the most common security challenges that cloud computing faces. The authors offer you years of unparalleled expertise and knowledge as they discuss the extremely challenging topics of data ownership, privacy protections, data mobility, quality of service and service levels, bandwidth costs, data protection, and support. As the most current and complete guide to helping you find your way through a maze of security minefields, this book is mandatory reading if you are involved in any aspect of cloud computing. Coverage Includes: Cloud Computing Fundamentals Cloud Computing Architecture Cloud Computing Software Security Fundamentals Cloud Computing Risks Issues Cloud Computing Security Challenges Cloud Computing Security Architecture Cloud Computing Life Cycle Issues Useful Next Steps and Approaches

3193 рублей

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Harvey Goldstein Multilevel Statistical Models

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. Key Features: Provides a clear introduction and a comprehensive account of multilevel models. New methodological developments and applications are explored. Written by a leading expert in the field of multilevel methodology. Illustrated throughout with real-life examples, explaining theoretical concepts. This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial.

7889.26 рублей

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Leigh Williamson Swift in the Cloud

Write and run Swift language programs in the Cloud Written by the team of developers that has helped bring the Swift language to Cloud computing, this is the definitive guide to writing and running Swift language programs for cloud environment. In Swift in the Cloud, you'll find full coverage of all aspects of creating and running Swift language applications in Cloud computing environments, complete with examples of real code that you can start running and experimenting with today. Since Apple introduced the Swift language in 2014, it has become one of the most rapidly adopted computer programming languages in history—and now you too can start benefitting from using the same programming language for all components of a scalable, robust business software solution. Create server applications using Swift and run them on pay-as-you-go cloud infrastructure Quickly write and test Swift code snippets in your own cloud sandbox Use Docker containers to deploy Swift applications into multiple cloud environments without having to change code Grasp the elements and structure of the Swift.org open technology project Find out how to avoid the complexities of runtime configuration by using Cloud Foundry buildpacks for Swift Build high performing web applications and REST APIs with an open source Swift based web server framework Scale up your cloud services by running Swift modules in an asynchronous, open source, 'serverless' cloud environment Whether you are already using Swift to build mobile applications or a seasoned web developer, Swift in the Cloud will help you leverage server-side Swift to power your next generation of applications.

2551.99 рублей

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Harry Cendrowski Cloud Computing and Electronic Discovery

Explore the frontier of electronic discovery in the cloud Cloud Computing and Electronic Discovery comprehensively covers the quickly-evolving realm of eDiscovery in cloud computing environments, a computing and legal frontier in which the rules and legal precedents are being developed anew seemingly by the day. The book delves into this fascinating and rapidly-developing topic to prepare fraud investigators, legal professionals, forensic accountants, and executives understand the ramifications of storing data with third party providers and how such storage mechanisms relate to the limits of discovery practices. This up-to-date resource also includes a complete discussion of the few existing legal precedents and current cases that are shaping interpretation of discovery laws in the cloud space, a perfect overview for executives storing their companies' data in the cloud and the legal professionals tasked with understanding and interpreting the discovery rules surrounding that data. The book is comprehensive in scope and includes: An overview of current trends in cloud computing, including potential information that should be considered in an investigation that involves data held by a cloud service provider Updates on current and proposed laws governing discovery of information held by a third party cloud service provider Updates on legal cases that address the issues of the Electronic Communication Privacy Act, the Federal law prohibiting release of information by a third party provider Practical guidance on how to consider the availability of cloud data relevant to an investigation, and how to include this data in discovery plans For business, accounting, and legal professionals, Cloud Computing and Electronic Discovery is an invaluable resource for understanding the nuanced development of cloud eDiscovery policies, practices, and law as they continue to unfold and develop.

2870.99 рублей

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Antony James S. Multilevel Modeling Techniques and Applications in Institutional Research. New Directions in Institutional Research, Number 154

Multilevel modeling is an increasingly popular multivariate technique that is widely applied in the social sciences. Increasingly, practitioners are making instructional decisions based on results from their multivariate analyses, which often come from nested data that lend themselves to multilevel modeling techniques. As data-driven decision making becomes more critical to colleges and universities, multilevel modeling is a tool that will lead to more efficient estimates and enhance understanding of complex relationships. This volume illustrates both the theoretical underpinnings and practical applications of multilevel modeling in IR. It introduces the fundamental concepts of multilevel modeling techniques in a conceptual and technical manner. Providing a range of examples of nested models that are based on linear and categorical outcomes, it then offers important suggestions about presenting results of multilevel models through charts and graphs. This is the 154th volume of this Jossey-Bass quarterly report series. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.

2220.23 рублей

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EMC Services Education Information Storage and Management. Storing, Managing, and Protecting Digital Information in Classic, Virtualized, and Cloud Environments

The new edition of a bestseller, now revised and update throughout! This new edition of the unparalleled bestseller serves as a full training course all in one and as the world's largest data storage company, EMC is the ideal author for such a critical resource. They cover the components of a storage system and the different storage system models while also offering essential new material that explores the advances in existing technologies and the emergence of the «Cloud» as well as updates and vital information on new technologies. Features a separate section on emerging area of cloud computing Covers new technologies such as: data de-duplication, unified storage, continuous data protection technology, virtual provisioning, FCoE, flash drives, storage tiering, big data, and more Details storage models such as Network Attached Storage (NAS), Storage Area Network (SAN), Object Based Storage along with virtualization at various infrastructure components Explores Business Continuity and Security in physical and virtualized environment Includes an enhanced Appendix for additional information This authoritative guide is essential for getting up to speed on the newest advances in information storage and management.

5364.24 рублей

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Jamal Malik Windows Azure Hybrid Cloud

An essential resource for implementing and managing a cloud infrastructure in Azure Serving as a critical resource for anyone responsible for strategizing, architecting, implementing or managing a cloud infrastructure, this book helps you understand what is hybrid IT and how it's applicable (and inevitable) in today's world of emerging cloud. The team of authors focus on the Microsoft concept of a private/public cloud, deploying a private cloud fabric, deploying services, and building a private cloud, as well as integrating it with Microsoft's public cloud to create a cross-premises or public cloud. Looks at why hybrid IT is important to a business and what benefits a business can expect by adopting hybrid cloud Examines a cloud management platform and discusses why it is necessary Walks you through the different kinds of solutions for IT problems that may arise Places a focus on considerations for ensuring resiliency, availability, and scalability when designing hybrid solutions to prevent system failure and data loss Covers optimizing the performance of the hybrid cloud as well as using tools that help you monitor and manage the performance of the hybrid cloud Windows Azure Hybrid Cloud helps you gain a better understanding of the hybrid IT environments, why those clouds should be implemented, and how they impact business.

1465.86 рублей

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Imad Abbadi M. Cloud Management and Security

Written by an expert with over 15 years’ experience in the field, this book establishes the foundations of Cloud computing, building an in-depth and diverse understanding of the technologies behind Cloud computing. In this book, the author begins with an introduction to Cloud computing, presenting fundamental concepts such as analyzing Cloud definitions, Cloud evolution, Cloud services, Cloud deployment types and highlighting the main challenges. Following on from the introduction, the book is divided into three parts: Cloud management, Cloud security, and practical examples. Part one presents the main components constituting the Cloud and federated Cloud infrastructure (e.g., interactions and deployment), discusses management platforms (resources and services), identifies and analyzes the main properties of the Cloud infrastructure, and presents Cloud automated management services: virtual and application resource management services. Part two analyzes the problem of establishing trustworthy Cloud, discusses foundation frameworks for addressing this problem – focusing on mechanisms for treating the security challenges, discusses foundation frameworks and mechanisms for remote attestation in Cloud and establishing Cloud trust anchors, and lastly provides a framework for establishing a trustworthy provenance system and describes its importance in addressing major security challenges such as forensic investigation, mitigating insider threats and operation management assurance. Finally, part three, based on practical examples, presents real-life commercial and open source examples of some of the concepts discussed, and includes a real-life case study to reinforce learning – especially focusing on Cloud security. Key Features • Covers in detail two main aspects of Cloud computing: Cloud management and Cloud security • Presents a high-level view (i.e., architecture framework) for Clouds and federated Clouds which is useful for professionals, decision makers, and students • Includes illustrations and real-life deployment scenarios to bridge the gap between theory and practice • Extracts, defines, and analyzes the desired properties and management services of Cloud computing and its associated challenges and disadvantages • Analyzes the risks associated with Cloud services and deployment types and what could be done to address the risk for establishing trustworthy Cloud computing • Provides a research roadmap to establish next-generation trustworthy Cloud computing • Includes exercises and solutions to problems as well as PowerPoint slides for instructors

8173.27 рублей

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Vinit Sharma The Cloud-Based Demand-Driven Supply Chain

It’s time to get your head in the cloud! In today’s business environment, more and more people are requesting cloud-based solutions to help solve their business challenges. So how can you not only anticipate your clients’ needs but also keep ahead of the curve to ensure their goals stay on track? With the help of this accessible book, you’ll get a clear sense of cloud computing and understand how to communicate the benefits, drawbacks, and options to your clients so they can make the best choices for their unique needs. Plus, case studies give you the opportunity to relate real-life examples of how the latest technologies are giving organizations worldwide the opportunity to thrive as supply chain solutions in the cloud. Demonstrates how improvements in forecasting, collaboration, and inventory optimization can lead to cost savings Explores why cloud computing is becoming increasingly important Takes a close look at the types of cloud computing Makes sense of demand-driven forecasting using Amazon's cloud Whether you work in management, business, or IT, this is the dog-eared reference you’ll want to keep close by as you continue making sense of the cloud.

3827.77 рублей

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Michael Edgerton A Practitioner's Guide to Effective Maritime and Port Security

Sets forth practices to ensure security and foster international trade Written with an international perspective, this book analyzes the complex set of factors affecting the security of port and maritime operations, including shipping, politics, economics, crime, and terrorism. Author Michael Edgerton critiques current approaches to maritime and port security based on his more than twenty-five years of experience in the field. He not only points out vulnerabilities in today's practices, but also provides a set of proven and tested recommendations that recognize the role and interests of both government and the private sector in enhancing security while ensuring the flow of international trade. Readers may be surprised to learn that, with greater efficiency, they can actually improve security while reducing the cost of security at the same time. Using real-world case studies to support its analyses and recommendations, A Practitioner's Guide to Effective Maritime and Port Security: Reviews the core components of the international maritime operating environment Assesses the potential threats to ports in the maritime environment Examines approaches to maritime port security in the United States, European Union, and around the world Presents principles for effective, risk-based maritime and port security At the end of the book, two appendices provide a framework for conducting security risk assessments and threat assessments. There's also a third appendix to help organizations assess their «risk appetite.» Recommended for students and professionals responsible for the safety and security of ports and maritime trade, this book reframes port and maritime security as a key component of a multidisciplinary system in which secure and efficient trade is the objective.

5694.76 рублей

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Michael Kavis J. Architecting the Cloud. Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS)

An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.

3831.6 рублей

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Michael Bowles Machine Learning in Python. Essential Techniques for Predictive Analysis

Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.

3749.08 рублей

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Dominic Chell The Mobile Application Hacker's Handbook

See your app through a hacker's eyes to find the real sources of vulnerability The Mobile Application Hacker's Handbook is a comprehensive guide to securing all mobile applications by approaching the issue from a hacker's point of view. Heavily practical, this book provides expert guidance toward discovering and exploiting flaws in mobile applications on the iOS, Android, Blackberry, and Windows Phone platforms. You will learn a proven methodology for approaching mobile application assessments, and the techniques used to prevent, disrupt, and remediate the various types of attacks. Coverage includes data storage, cryptography, transport layers, data leakage, injection attacks, runtime manipulation, security controls, and cross-platform apps, with vulnerabilities highlighted and detailed information on the methods hackers use to get around standard security. Mobile applications are widely used in the consumer and enterprise markets to process and/or store sensitive data. There is currently little published on the topic of mobile security, but with over a million apps in the Apple App Store alone, the attack surface is significant. This book helps you secure mobile apps by demonstrating the ways in which hackers exploit weak points and flaws to gain access to data. Understand the ways data can be stored, and how cryptography is defeated Set up an environment for identifying insecurities and the data leakages that arise Develop extensions to bypass security controls and perform injection attacks Learn the different attacks that apply specifically to cross-platform apps IT security breaches have made big headlines, with millions of consumers vulnerable as major corporations come under attack. Learning the tricks of the hacker's trade allows security professionals to lock the app up tight. For better mobile security and less vulnerable data, The Mobile Application Hacker's Handbook is a practical, comprehensive guide.

4498.89 рублей

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Richard Brath Graph Analysis and Visualization. Discovering Business Opportunity in Linked Data

Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

3749.08 рублей

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A. Guarino J. Performing Data Analysis Using IBM SPSS

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

7947.76 рублей

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Written by an expert with over 15 years’ experience in the field, this book establishes the foundations of Cloud computing, building an in-depth and diverse understanding of the technologies behind Cloud computing. In this book, the author begins with an introduction to Cloud computing, presenting fundamental concepts such as analyzing Cloud definitions, Cloud evolution, Cloud services, Cloud deployment types and highlighting the main challenges. Following on from the introduction, the book is divided into three parts: Cloud management, Cloud security, and practical examples. Part one presents the main components constituting the Cloud and federated Cloud infrastructure (e.g., interactions and deployment), discusses management platforms (resources and services), identifies and analyzes the main properties of the Cloud infrastructure, and presents Cloud automated management services: virtual and application resource management services. Part two analyzes the problem of establishing trustworthy Cloud, discusses foundation frameworks for addressing this problem – focusing on mechanisms for treating the security challenges, discusses foundation frameworks and mechanisms for remote attestation in Cloud and establishing Cloud trust anchors, and lastly provides a framework for establishing a trustworthy provenance system and describes its importance in addressing major security challenges such as forensic investigation, mitigating insider threats and operation management assurance. Finally, part three, based on practical examples, presents real-life commercial and open source examples of some of the concepts discussed, and includes a real-life case study to reinforce learning – especially focusing on Cloud security. Key Features • Covers in detail two main aspects of Cloud computing: Cloud management and Cloud security • Presents a high-level view (i.e., architecture framework) for Clouds and federated Clouds which is useful for professionals, decision makers, and students • Includes illustrations and real-life deployment scenarios to bridge the gap between theory and practice • Extracts, defines, and analyzes the desired properties and management services of Cloud computing and its associated challenges and disadvantages • Analyzes the risks associated with Cloud services and deployment types and what could be done to address the risk for establishing trustworthy Cloud computing • Provides a research roadmap to establish next-generation trustworthy Cloud computing • Includes exercises and solutions to problems as well as PowerPoint slides for instructors

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