The document discusses why data governance is needed in the cloud, listing 4 key reasons: security, compliance, data loss, and loss of control. It then provides definitions and explanations of cloud security concepts like cloud service models, deployment models, and cloud architecture characteristics such as abstraction of infrastructure and elasticity of resources.
An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
Data continues to grow exponentially – especially with the advent of social content. Approximately 70% of data is unstructured. This impacts on storage costs and management, Data Protection, and SLAs.
New deployment options such as cloud provide alternatives but how do you know what you should move to the cloud?
This document discusses cloud computing, including its architecture, security issues, and types of attacks. It begins by defining cloud computing and describing its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then outlines the three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models of private cloud, community cloud, public cloud, and hybrid cloud are also defined. Finally, it notes that the document will focus on exploring the security issues that arise from the nature of cloud service delivery and the types of attacks seen in cloud environments.
Cloud computing introduces new risks that must be addressed. It relies on sharing resources over the internet rather than local servers. This introduces vulnerabilities like insecure APIs, data leaks when data is shared on virtual machines, and issues with the virtual networks. However, cloud security can be improved through measures like encryption, access control, data tracing, and masking sensitive data. Overall cloud computing improves accessibility and scalability but also requires secure virtualization and clear responsibility over data protection.
Data Security Model Enhancement In Cloud EnvironmentIOSR Journals
This document discusses enhancing data security in cloud environments. It begins by providing background on cloud computing, including its key characteristics and architecture. The document then discusses existing security concerns with cloud computing, as sensitive user data is stored remotely by cloud providers. The main objective is to propose an enhanced data security model for clouds. The proposed model uses a three-layer architecture and efficient algorithms to ensure security at each layer and solve common cloud data security issues like authentication, data protection, and fast data recovery.
This document discusses implementing cloud computing capabilities in JCISA to improve information sharing and collaboration. It provides an overview of cloud computing concepts including definitions, service models, and deployment models. It then evaluates three courses of action for JCISA: doing nothing and letting "big Army" direct implementation; optimizing legacy systems to facilitate a future private or hybrid cloud; or immediately implementing a cloud regardless of Army efforts. The document analyzes requirements, service level agreements, comparisons of the courses of action, and ultimately recommends optimizing legacy systems to support future migration to a private or hybrid cloud.
Cloud computing allows for on-demand access to shared computing resources like networks, servers, storage, applications and services. It provides accessibility, agility and flexibility through rapid provisioning and releasing of resources with minimal management effort. Some key aspects of cloud computing include virtualization, multi-tenancy, broad network access, resource pooling and measured service. Cloud computing is changing the nature of IT by moving computing resources from local desktops and data centers to the internet.
This document discusses security issues related to cloud computing service delivery models. It describes the three main delivery models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). IaaS provides the foundational infrastructure resources, with PaaS building application platforms on top of it and SaaS providing software. Each layer inherits the security risks of the layers below. While cloud computing provides benefits, security remains a major concern due to issues like loss of control over data, visibility, and potential exploits from third-party administrators of cloud resources.
An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
Data continues to grow exponentially – especially with the advent of social content. Approximately 70% of data is unstructured. This impacts on storage costs and management, Data Protection, and SLAs.
New deployment options such as cloud provide alternatives but how do you know what you should move to the cloud?
This document discusses cloud computing, including its architecture, security issues, and types of attacks. It begins by defining cloud computing and describing its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then outlines the three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models of private cloud, community cloud, public cloud, and hybrid cloud are also defined. Finally, it notes that the document will focus on exploring the security issues that arise from the nature of cloud service delivery and the types of attacks seen in cloud environments.
Cloud computing introduces new risks that must be addressed. It relies on sharing resources over the internet rather than local servers. This introduces vulnerabilities like insecure APIs, data leaks when data is shared on virtual machines, and issues with the virtual networks. However, cloud security can be improved through measures like encryption, access control, data tracing, and masking sensitive data. Overall cloud computing improves accessibility and scalability but also requires secure virtualization and clear responsibility over data protection.
Data Security Model Enhancement In Cloud EnvironmentIOSR Journals
This document discusses enhancing data security in cloud environments. It begins by providing background on cloud computing, including its key characteristics and architecture. The document then discusses existing security concerns with cloud computing, as sensitive user data is stored remotely by cloud providers. The main objective is to propose an enhanced data security model for clouds. The proposed model uses a three-layer architecture and efficient algorithms to ensure security at each layer and solve common cloud data security issues like authentication, data protection, and fast data recovery.
This document discusses implementing cloud computing capabilities in JCISA to improve information sharing and collaboration. It provides an overview of cloud computing concepts including definitions, service models, and deployment models. It then evaluates three courses of action for JCISA: doing nothing and letting "big Army" direct implementation; optimizing legacy systems to facilitate a future private or hybrid cloud; or immediately implementing a cloud regardless of Army efforts. The document analyzes requirements, service level agreements, comparisons of the courses of action, and ultimately recommends optimizing legacy systems to support future migration to a private or hybrid cloud.
Cloud computing allows for on-demand access to shared computing resources like networks, servers, storage, applications and services. It provides accessibility, agility and flexibility through rapid provisioning and releasing of resources with minimal management effort. Some key aspects of cloud computing include virtualization, multi-tenancy, broad network access, resource pooling and measured service. Cloud computing is changing the nature of IT by moving computing resources from local desktops and data centers to the internet.
This document discusses security issues related to cloud computing service delivery models. It describes the three main delivery models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). IaaS provides the foundational infrastructure resources, with PaaS building application platforms on top of it and SaaS providing software. Each layer inherits the security risks of the layers below. While cloud computing provides benefits, security remains a major concern due to issues like loss of control over data, visibility, and potential exploits from third-party administrators of cloud resources.
The document discusses transforming a data center from a cost center to a business enabler using Cisco's Domain Ten framework. This framework identifies ten essential domains to consider for successful transformation: Facilities and Infrastructure, Virtualization and Abstraction, Automation and Orchestration, User Portal, Service Catalog and Management, and Service Financial Management. Understanding and addressing all ten domains allows for accelerated data center transformation, whether toward virtualization, cloud-based models, or more efficient operations.
Cloud computing provides on-demand access to shared configurable computing resources like servers, storage, databases, networking, software, analytics and more via the internet with minimal management effort. It has 5 essential characteristics, 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community). Security is a major concern in cloud computing due to issues like data ownership, multi-tenancy, loss of physical control and proprietary implementations. A typical use case of provisioning a virtual machine involves a user request, provisioning by cloud management, and access to the ready VM.
This document discusses cloud computing and related concepts. It begins by defining cloud computing according to NIST and describing its key characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then explains enabling technologies like grid computing, utility computing, and virtualization. The document outlines cloud service models of IaaS, PaaS, and SaaS. It also covers deployment models, benefits of cloud computing, and challenges for both consumers and providers. Finally, it briefly discusses open source tools for cloud computing and factors driving adoption of cloud services.
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
Presentation on cloud computing security issues using HADOOP and HDFS ARCHITE...Pushpa
we discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, we discuss a scheme for secure third party publications of documents in a cloud. Next, we will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, we discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure
cloud computing.
Cloud computing provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications and services that can be provisioned quickly with minimal management effort. There are three main cloud service models: Infrastructure as a Service (IaaS) which provides basic storage and computing capabilities; Platform as a Service (PaaS) which provides a development environment; and Software as a Service (SaaS) which provides applications to users. Cloud computing offers advantages like flexibility, mobility, collaboration and cost efficiency but also poses security, privacy and control risks that need to be addressed.
Gary Homeland Security Presentation 102114Gary Dischner
The document discusses security issues related to data in the cloud. It begins with an overview of cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It then covers security threats such as data breaches and lack of user control. Specific issues addressed include encryption, data confidentiality, regulatory compliance, and audit capabilities of cloud providers. The document concludes with techniques for mitigating risks such as asset identification, threat analysis, and selecting appropriate cloud deployment models.
Cloud computing security issues and challengesDheeraj Negi
This document discusses security issues and challenges in cloud computing. It outlines the three main cloud deployment models (private, public, hybrid cloud) and three service delivery models (IaaS, PaaS, SaaS). Key challenges discussed include costing and charging models, service level agreements, interoperability issues, and security concerns such as data loss and unauthorized access. While cloud computing provides benefits, the document cautions that security risks must be carefully understood and addressed for its safe adoption.
This document provides an overview of cloud computing, including definitions, models, and applications. It can be summarized as follows:
1) It defines cloud computing according to NIST and discusses the essential characteristics of cloud including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
2) It describes the three main service models of cloud - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) - and the four deployment models of cloud including private, community, public, and hybrid clouds.
3) It gives examples of applications of cloud computing such as ECG analysis, protein
Cloud Computing intends a trend in computing model arises many security issues in all levels such as: network, application, data and host.
These models put up different challenges in security
Depending on consumers, models QOS(quality of service) requirements. Privacy, authentication, secre-cy are main concern for both consumers and cloud providers. IaaS serves as base for other models, if the security in this model is uncertain; it will affect the other models too. This paper delivers a examine the countermeasures and exposures. As a research we project security Assessment and improvement in Iaas layer.
This document provides an overview of cloud computing and discusses records management challenges associated with cloud environments. It defines cloud computing and its essential characteristics. It also outlines NARA guidance on managing records in the cloud, including a FAQ and upcoming bulletin. The document discusses challenges such as ensuring records retention and disposition schedules are followed and that records remain accessible and portable. It recommends including records management staff in planning cloud solutions and addressing records management requirements in contracts.
The document discusses cloud enablement and IT service models. It defines different types of cloud including private, public, and hybrid clouds. It outlines the key benefits of cloud such as scalability, cost savings, and speed of innovation. The document then presents four characteristics of IT services - commodity, agile, scale, and growth - and provides examples of how different types of IT systems and applications align with these characteristics and a cloud strategy. Finally, contact information is provided for Vishal Sharma.
This presentation will provide you with all the information, you need to know about cloud computing. It will give a description of cloud computing and related issues from top to bottom with lots of survey results, definitions from different white papers and security concerns from worth mentioning research papers.
Establishing applications on on-demand infrastructures rather of building applica-tions on fixed and rigid infrastructures was provided by cloud computing provides. By merely exploiting into the cloud, initiatives can gain fast access to business applications or infrastructure resources with decreased Capital Expenditure (CAPEX). The more and more information is placed into the cloud by someone and initiatives, security issues begins to develop and raised. This paper discusses the different security issues that rise up about how secure the mo-bile cloud computing environment.
Understanding the cloud computing stackSatish Chavan
Understanding the cloud computing stack
Introduction
Key characteristics
At Glance
Standardization, Migration &Adaptation
Service models
Deployment models
Network as a Service
Software as a Service (SaaS).
Platform as a Service (PaaS).
Infrastructure as a Service (IaaS).
Communications as a Service (CaaS)
Data as a Service - DaaS
Benefits & Challenges
Security Risks & Challenges
Cloud Vendors
This document provides an overview of cloud computing technology and infrastructure. It discusses key concepts like Infrastructure as a Service (IaaS), the various deployment models (private, public, hybrid, and community clouds), and essential characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the architecture of cloud systems and how engineering principles are applied to cloud computing. It aims to give readers an understanding of IaaS and the technical aspects that underpin cloud infrastructure.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be quickly provisioned with minimal management effort. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four deployment models of public, private, community and hybrid clouds are also defined.
Cloud Computing basic concept to understandRahulBhole12
Cloud computing is a model that provides convenient access to a shared pool of configurable computing resources. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Deployment models include private cloud, community cloud, public cloud, and hybrid cloud. Cloud computing provides advantages of reduced costs and increased scalability and flexibility compared to traditional computing models.
The document defines cloud computing and its key characteristics, service models, and deployment models. Specifically, it provides definitions for cloud computing and its essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also describes the three cloud computing service models of Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Finally, it outlines the four deployment models of private cloud, public cloud, hybrid cloud, and community cloud.
The document discusses effective and secure use of cloud computing. It provides an overview of cloud computing definitions, models, and characteristics. It analyzes key security issues in cloud computing including advantages like data fragmentation and centralized security management, as well as challenges like isolation management and exposure of data to foreign governments. The document outlines several cloud computing security components and how they relate to both advantages and challenges.
Cloud computing refers to delivering computing services over the Internet. It allows users to access on-demand resources like storage, processing power, and software applications without maintaining physical infrastructure. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud services can be deployed via public, private, hybrid, or community models. Common service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
The document provides an overview of cloud computing. It defines cloud computing as enabling on-demand access to configurable computing resources over the internet. There are five essential cloud characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). There are also four deployment models: private cloud, community cloud, public cloud, and hybrid cloud. The document discusses advantages and challenges of cloud computing as well as trends in data centers and cloud adoption.
The document discusses transforming a data center from a cost center to a business enabler using Cisco's Domain Ten framework. This framework identifies ten essential domains to consider for successful transformation: Facilities and Infrastructure, Virtualization and Abstraction, Automation and Orchestration, User Portal, Service Catalog and Management, and Service Financial Management. Understanding and addressing all ten domains allows for accelerated data center transformation, whether toward virtualization, cloud-based models, or more efficient operations.
Cloud computing provides on-demand access to shared configurable computing resources like servers, storage, databases, networking, software, analytics and more via the internet with minimal management effort. It has 5 essential characteristics, 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community). Security is a major concern in cloud computing due to issues like data ownership, multi-tenancy, loss of physical control and proprietary implementations. A typical use case of provisioning a virtual machine involves a user request, provisioning by cloud management, and access to the ready VM.
This document discusses cloud computing and related concepts. It begins by defining cloud computing according to NIST and describing its key characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then explains enabling technologies like grid computing, utility computing, and virtualization. The document outlines cloud service models of IaaS, PaaS, and SaaS. It also covers deployment models, benefits of cloud computing, and challenges for both consumers and providers. Finally, it briefly discusses open source tools for cloud computing and factors driving adoption of cloud services.
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
Presentation on cloud computing security issues using HADOOP and HDFS ARCHITE...Pushpa
we discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, we discuss a scheme for secure third party publications of documents in a cloud. Next, we will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, we discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure
cloud computing.
Cloud computing provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications and services that can be provisioned quickly with minimal management effort. There are three main cloud service models: Infrastructure as a Service (IaaS) which provides basic storage and computing capabilities; Platform as a Service (PaaS) which provides a development environment; and Software as a Service (SaaS) which provides applications to users. Cloud computing offers advantages like flexibility, mobility, collaboration and cost efficiency but also poses security, privacy and control risks that need to be addressed.
Gary Homeland Security Presentation 102114Gary Dischner
The document discusses security issues related to data in the cloud. It begins with an overview of cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It then covers security threats such as data breaches and lack of user control. Specific issues addressed include encryption, data confidentiality, regulatory compliance, and audit capabilities of cloud providers. The document concludes with techniques for mitigating risks such as asset identification, threat analysis, and selecting appropriate cloud deployment models.
Cloud computing security issues and challengesDheeraj Negi
This document discusses security issues and challenges in cloud computing. It outlines the three main cloud deployment models (private, public, hybrid cloud) and three service delivery models (IaaS, PaaS, SaaS). Key challenges discussed include costing and charging models, service level agreements, interoperability issues, and security concerns such as data loss and unauthorized access. While cloud computing provides benefits, the document cautions that security risks must be carefully understood and addressed for its safe adoption.
This document provides an overview of cloud computing, including definitions, models, and applications. It can be summarized as follows:
1) It defines cloud computing according to NIST and discusses the essential characteristics of cloud including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
2) It describes the three main service models of cloud - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) - and the four deployment models of cloud including private, community, public, and hybrid clouds.
3) It gives examples of applications of cloud computing such as ECG analysis, protein
Cloud Computing intends a trend in computing model arises many security issues in all levels such as: network, application, data and host.
These models put up different challenges in security
Depending on consumers, models QOS(quality of service) requirements. Privacy, authentication, secre-cy are main concern for both consumers and cloud providers. IaaS serves as base for other models, if the security in this model is uncertain; it will affect the other models too. This paper delivers a examine the countermeasures and exposures. As a research we project security Assessment and improvement in Iaas layer.
This document provides an overview of cloud computing and discusses records management challenges associated with cloud environments. It defines cloud computing and its essential characteristics. It also outlines NARA guidance on managing records in the cloud, including a FAQ and upcoming bulletin. The document discusses challenges such as ensuring records retention and disposition schedules are followed and that records remain accessible and portable. It recommends including records management staff in planning cloud solutions and addressing records management requirements in contracts.
The document discusses cloud enablement and IT service models. It defines different types of cloud including private, public, and hybrid clouds. It outlines the key benefits of cloud such as scalability, cost savings, and speed of innovation. The document then presents four characteristics of IT services - commodity, agile, scale, and growth - and provides examples of how different types of IT systems and applications align with these characteristics and a cloud strategy. Finally, contact information is provided for Vishal Sharma.
This presentation will provide you with all the information, you need to know about cloud computing. It will give a description of cloud computing and related issues from top to bottom with lots of survey results, definitions from different white papers and security concerns from worth mentioning research papers.
Establishing applications on on-demand infrastructures rather of building applica-tions on fixed and rigid infrastructures was provided by cloud computing provides. By merely exploiting into the cloud, initiatives can gain fast access to business applications or infrastructure resources with decreased Capital Expenditure (CAPEX). The more and more information is placed into the cloud by someone and initiatives, security issues begins to develop and raised. This paper discusses the different security issues that rise up about how secure the mo-bile cloud computing environment.
Understanding the cloud computing stackSatish Chavan
Understanding the cloud computing stack
Introduction
Key characteristics
At Glance
Standardization, Migration &Adaptation
Service models
Deployment models
Network as a Service
Software as a Service (SaaS).
Platform as a Service (PaaS).
Infrastructure as a Service (IaaS).
Communications as a Service (CaaS)
Data as a Service - DaaS
Benefits & Challenges
Security Risks & Challenges
Cloud Vendors
This document provides an overview of cloud computing technology and infrastructure. It discusses key concepts like Infrastructure as a Service (IaaS), the various deployment models (private, public, hybrid, and community clouds), and essential characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the architecture of cloud systems and how engineering principles are applied to cloud computing. It aims to give readers an understanding of IaaS and the technical aspects that underpin cloud infrastructure.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be quickly provisioned with minimal management effort. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four deployment models of public, private, community and hybrid clouds are also defined.
Cloud Computing basic concept to understandRahulBhole12
Cloud computing is a model that provides convenient access to a shared pool of configurable computing resources. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Deployment models include private cloud, community cloud, public cloud, and hybrid cloud. Cloud computing provides advantages of reduced costs and increased scalability and flexibility compared to traditional computing models.
The document defines cloud computing and its key characteristics, service models, and deployment models. Specifically, it provides definitions for cloud computing and its essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also describes the three cloud computing service models of Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Finally, it outlines the four deployment models of private cloud, public cloud, hybrid cloud, and community cloud.
The document discusses effective and secure use of cloud computing. It provides an overview of cloud computing definitions, models, and characteristics. It analyzes key security issues in cloud computing including advantages like data fragmentation and centralized security management, as well as challenges like isolation management and exposure of data to foreign governments. The document outlines several cloud computing security components and how they relate to both advantages and challenges.
Cloud computing refers to delivering computing services over the Internet. It allows users to access on-demand resources like storage, processing power, and software applications without maintaining physical infrastructure. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud services can be deployed via public, private, hybrid, or community models. Common service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
The document provides an overview of cloud computing. It defines cloud computing as enabling on-demand access to configurable computing resources over the internet. There are five essential cloud characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). There are also four deployment models: private cloud, community cloud, public cloud, and hybrid cloud. The document discusses advantages and challenges of cloud computing as well as trends in data centers and cloud adoption.
- The document discusses cloud computing concepts including virtualization, essential cloud features, cloud service models (SaaS, PaaS, IaaS, BPaaS), deployment models (private, public, hybrid, community cloud), and benefits of cloud computing.
- It outlines security concerns in cloud environments related to issues like physical controls being replaced by virtual controls, expanded access and shifted control, and increased speed of provisioning. It discusses how security domains map to cloud environments.
- Finally, it presents two viewpoints on cloud security - security from the cloud focuses on security-as-a-service, while security for the cloud focuses on secure usage of cloud applications.
This presentation attempts to first demystify what's Cloud, and why Cloud Computing is an absolute MUST to reduce Cost of Application Delivery. It then attempts to bring out the important role that DCIM will play in the Cloud Computing Infrastructure, as we head towards a world of Software Defined Data Centers.
NIST Model of Cloud Computing by Piyush Bujade.pptxtheLegendPiyush
The document summarizes key aspects of the National Institute of Standards and Technology's (NIST) definition of cloud computing, including:
1) NIST defines cloud computing based on 5 essential characteristics (on-demand self-service, broad network access, resource pooling, rapid elasticity, measured service), 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community cloud).
2) The 5 characteristics describe the essential aspects of cloud computing - on-demand access to configurable resources that can be provisioned with minimal management effort.
3) The 3 service models are SaaS, PaaS, and IaaS - which respectively
Security Authorization: An Approach for Community Cloud Computing EnvironmentsBooz Allen Hamilton
White paper explores some of the challenges encountered when attempting to perform traditional security authorization or certification and authentication processes for cloud computing environments (CCEs).
1. The document discusses cloud computing and compares it to grid computing. Cloud computing delivers computing as a service using virtualized hardware and software platforms.
2. Cloud computing provides massive scalability, fault tolerance, and reliable service quality through virtualization and load balancing across infrastructure.
3. Users can access cloud applications and services from any internet-connected device without installing or managing software/hardware themselves.
Cloud fundamentals were presented covering key topics:
1. Cloud computing is defined by its on-demand self-service, broad network access, resource pooling and rapid elasticity characteristics. It has deployment models of private, public, hybrid and community clouds.
2. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtualization and servers, PaaS provides platforms and software, and SaaS provides applications.
3. Security concerns in public clouds include shadow IT, lack of control, and availability issues; while costs can be hidden and workload management is important
This document discusses implementing trust in cloud computing using public key infrastructure (PKI). It begins by providing background on PKI and how it uses public/private key cryptography to provide security services like authentication, confidentiality, and integrity. It then discusses cloud computing models and the Windows Azure platform. The paper proposes three trust models using PKI: 1) a public root CA and public CA, 2) a public root CA and enterprise CA, and 3) an enterprise root CA and enterprise CA. It details methodologies for implementing each model to establish trust between cloud services and customers. The enterprise root CA model provides the most security and trust but has higher costs and complexity.
The document defines cloud computing and its key characteristics, service models, and deployment models. It discusses the essential characteristics of cloud computing which include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models are private cloud, public cloud, hybrid cloud, and community cloud.
Data Tactics dhs introduction to cloud technologies wtcDataTactics
Data Tactics Corporation is an established company that provides cloud computing and data management solutions. They operate several secure clouds for government customers and have experience hosting large scale data and applications. The document provides an overview of cloud computing definitions, models, and capabilities relevant for intelligence community applications. It describes Data Tactics' cloud solutions, experience, and the types of features and services they can provide such as scalable data storage, analytics, and user access tools.
This document discusses federated cloud computing and key challenges. It defines cloud computing according to NIST and describes essential characteristics, service models, and deployment models. The document outlines challenges around scalability, resource utilization, vendor lock-in, quality of service, security, and compliance. It proposes that open source platforms and standards can help address these challenges by enabling interoperability across cloud offerings. The document provides examples of open source cloud middleware like OpenStack and describes standards like OVF and SCIM that can help with portability and identity management.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
Cloud computing allows on-demand access to shared computing resources like servers, storage, databases, networking, software, analytics and more. It has 5 essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud deployment models include private, public, hybrid and community clouds.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing local infrastructure. Key characteristics include on-demand self-service, broad network access, resource pooling for efficient utilization, and rapid elasticity of resources. Deployment models include public, private, hybrid, and community clouds. Service models are infrastructure as a service, platform as a service, and software as a service. Cloud computing provides benefits such as cost savings, flexibility, scalability, and reliability.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing local infrastructure. Key characteristics include on-demand self-service, broad network access, resource pooling for efficient utilization, and rapid elasticity of resources. Deployment models consist of public, private, and hybrid clouds. Service models are infrastructure as a service, platform as a service, and software as a service. Cloud computing provides benefits such as cost savings, scalability, flexibility, reliability, and collaboration.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Power Grid Model
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- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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1. Why is data
governance
needed in the
cloud?
4 Reasons:
• Security
• Compliance
• Data Loss
• Loss of
Control
James and K Goodier 2
2. Security
First some cloud security definitions
• These definitions are extracted from the Cloud Security
Alliance guidelines released in April 2009 and supported by
NIST.
• Cloud computing security guidance fits into a standard
development lifecycle
Design-
Develop
Deliver
Deploy
3
3. Design-
Develop
Security
Cloud Basics: Architecture
• 5 Principal Characteristics
– Abstraction of Infrastructure
– Resource Democratization
– Services Oriented Architecture
– Elasticity/Dynamism of Resources
– Utility model of Consumption & Allocation
4
4. Design-
Develop
Security
Cloud Basics: Architecture
– Abstraction of Infrastructure
• The computer, network and storage infrastructure resources are abstracted
from the application and information resources as a function of service
delivery.
• Physical resources on which data is processed, transmitted and stored
becomes opaque from the perspective of the application or services’ ability
to deliver it
• Abstraction is generally provided by means of high levels of virtualization
5
5. Design-
Security Develop
Cloud Basics: Architecture
– Resource Democratization
• The abstraction of infrastructure provides resource
democratization
– The infrastructure, applications, or information are a pool of
resources that can be made available and accessible to anyone or
anything authorized to use them via standardized methods
6
6. Design-
Security Develop
Cloud Basics: Architecture
– Services Oriented Architecture
• The abstraction of infrastructure from application and information yields
well-defined and loosely-coupled resource democratization,
• The notion of using these components in whole or part, alone or with
integration, provides a services oriented architecture where resources
may be accessed and utilized in a standard way.
• The delivery of service is the focus rather than the management of
infrastructure.
7
7. Design-
Security Develop
Cloud Basics: Architecture
– Elasticity/Dynamism of Resources
• The on-demand model of Cloud provisioning coupled with high levels of
automation, virtualization, and ubiquitous, reliable and high-speed
connectivity provides for
• The capability to rapidly expand or contract resource allocation to service
definition
• Requirements using a self-service model that scales to as-needed
capacity.
• Pooled resources ensure that better utilization and service levels can be
achieved.
8
8. Design-
Security Develop
Cloud Basics: Architecture
– Utility model of Consumption & Allocation
• The abstracted, democratized, service-oriented and elastic nature of
Cloud combined with tight automation, orchestration, provisioning and
self-service allows for dynamic allocation of resources based on any
number of governing input parameters.
• At an atomic level, the consumption of resources can then be used to
provide an “all-you-can-eat” but “pay-by-the-bite” metered utility-cost
and usage model.
• This approach provides cost efficiencies and scale as well as manageable
and predictive costs.
9
9. Deliver
Security
3 Cloud Service Delivery Models:
• Software as a Service
• Platform as a Service
• Infrastructure as a Service
• Note: Lamia Youseff, et. al., adds Hardware as a Service and Communications
as a Service to this list in their paper Toward a Unified Ontology of Cloud
Computing
10
10. Deliver
Security
Software as a Service
– Lets the consumer use the provider’s applications running
on a cloud infrastructure and accessible from various client
devices through a thin client interface such as a Web
browser (e.g., web-based email).
– The consumer does not manage or control the underlying
cloud infrastructure, network, servers, operating systems,
storage, or even individual application capabilities, with
the possible exception of limited user-specific application
configuration settings.
11
11. Deliver
Security
Platform as a Service
– Lets the consumer deploy on the cloud infrastructure
consumer-created applications using programming
languages and tools supported by the provider (e.g.,
java, python, .Net).
– The consumer does not manage or control the
underlying cloud infrastructure, network, servers,
operating systems, or storage, but the consumer has
control over the deployed applications and possibly
application hosting environment configurations.
12
12. Deliver
Security
Infrastructure as a Service
– Lets the consumer rent processing, storage, networks, and
other fundamental computing resources where the
consumer is able to deploy and run arbitrary software,
which can include operating systems and applications.
– The consumer does not manage or control the underlying
cloud infrastructure but has control over operating
systems, storage, deployed applications, and possibly
select networking components (e.g., firewalls, load
balancers).
13
13. Deploy
Security
4 Cloud Service Deployment Models
– Public
– Private
– Managed
– Hybrid
14
14. Deploy
Security
Public Cloud Services
• Designated service provider and may offer either
– a single-tenant (dedicated) or
– multi-tenant (shared) operating environment
• Physical infrastructure is owned by and managed by the
designated service provider and located within the provider’s
datacenters (off-premise.)
• Consumers of Public Cloud services are “untrusted”
– Untrusted consumers are those that may be authorized to
consume some/all services but are not logical extensions
of the organization
15
15. Deploy
Security
Private Cloud Services
• Private Clouds are provided by an organization or their
designated service provider.
– single-tenant (dedicated) operating environment
• The physical infrastructure may be either on-premise/owned
by the organization or off-premise.
• The consumers of the service are considered “trusted.”
• Trusted consumers of service are those who are
considered part of an organization’s legal/contractual
umbrella including employees, contractors, & business
partners.
16
16. Deploy
Security
Managed Cloud Services
• A type of Public model - Managed Clouds are provided by a
designated service provider
• The key difference from Public Clouds is in the level of trust
offered to users.
• Consumers of Managed Clouds may be trusted or untrusted.
17
17. Deploy
Security
Hybrid Cloud Services
– Combination of public and private cloud offerings that
allow for transitive information exchange and possibly
application compatibility and portability across disparate
Cloud service offerings and providers.
– May use either standard or proprietary methodologies
regardless of ownership or location
– Consumers of Hybrid Clouds may be trusted or untrusted
18
18. Security
Governance and Risk Considerations
for the Public Cloud
• A portion of the cost savings obtained by cloud computing services must be
invested into the increased scrutiny of the security capabilities of the provider and
ongoing detailed audits to ensure requirements are continuously met.
• The principals of Cloud Computing that make it very flexible and affordable create
a relationship dynamism, which must be mitigated by ongoing risk management.
• Providers should have regular third party risk assessments and these should be
made available to customers.
• Require listings of all third party relationships of the cloud provider.
• Understand financial viability of cloud provider.
19
19. Security
Governance and Risk Considerations
for the Public Cloud
• Understand the cloud provider’s key risk and performance indicators and
– Ask yourself: How can these indicators be monitored and measured from a
customer perspective?
• Request complete disclosure on all policies, procedures and processes comprising
the cloud provider’s Information Security Management System (ISMS)
• Understand that it is the responsibility of the customer to perform extensive due
diligence of any cloud provider for use in business functions or for hosting of
regulated data , especially personally identifiable information.
• Establish contracts that contain a comprehensive listing of the required due
diligence that you require of the cloud provider
– The contract should be considered as one of many strong governance tools. 20
20. Security
Data Security summary
• Two big dimensions of security that are different in the cloud:
– Control to user access/privilege to your application has
been extended to your cloud provider.
• You need to know who has access to your application.
• If they can't tell you, assume everyone in the company
does!
– Protection against network and host based attacks.
• Does your cloud vendor really understand security?
• Have you asked about their corporate security policies?
21
21. Compliance
Data Compliance - Negatives
• Certain types of data
– Privacy data (FISA compliance)
– Financial data (SOX compliance)
– Healthcare data (HIPPA compliance)
• Cause compliance/regulatory issues
– Can you allow this data to go into a public cloud?
– How do you prevent compliance failure?
22
22. Compliance
Data Compliance - Positives
• Private Clouds can assist with data compliance
– Consider running a prototype and
– Ride the wave of cloud popularity to gain more control
within your organization
23
23. Data Loss
Data Loss
• Can In-the-Cloud applications and services overlook these
risk?
• When something happens, does your cloud service have to
go offline until recovery?
• If you are a cloud vendor, do you have backup/recovery
policies in place?
– Have these been audited by an external 3rd party?
24
24. Loss of Control
Loss of Data Control
• Richard Stallman, founder of GNU, claims that the use of
cloud computing services and applications is "worse than
stupid" because it locks users into proprietary systems.
• He particularly cautions against big players like Google,
Microsoft and Amazon.
– In my opinion, his comments have a conspiracy theory
flavor but the issue of control and privacy is something to
consider.
What’s the worse that could happen in the cloud without
data governance?
25
26. Loss of Control
Cloud Losers: Unlucky Seals
of 2009 and 2008
27
27. Loss of Control
Cloud Computing Incidents Database
(CCID)
• “The CCID records and monitors verifiable, noteworthy events
that impact cloud computing providers, such as outages,
security issues and breaches, both as they are happening and
on an ongoing historical basis.”
– http://wiki.cloudcommunity.org/wiki/CloudComputing:Incidents_Database
• The CCID is offered to all under a Creative Commons (CC-BY-
SA 3.0) license.
28
28. Loss of Control
2009 incidents
"From about 6:30 AM PST until 7:25 AM PST, most searches for any site in
Google's database returned the message "This site may harm your computer."
If a user attempted to click through to the result, a subsequent page referred
users to StopBadware.org, causing that site to crash from the millions of
visitors trying to access the site."
29
29. Loss of Control
A lesson from ma.gnolia
• ma.gnolia was a cloud computing based bookmark service provider.
Corrupted data caused a catastrophic site crash on January 30, 2009.
ma.gnolia’s backup methods did not include a known good backup. Three
key lessons can be learned from this crash:
– Disaster recovery planning, implementation and testing is more important in
the cloud than ever before.
– Implement competing backup solutions so that you have backup to your
backup.
– Implement the daily/hourly workhorse backup. Make sure the backup and
the restore process is fully defined, and run tests to prove it. Do these tests
routinely . 30
31. Loss of Control
2008 incidents
Datastore writes
experienced
All elevated
latencies and
Performance
error-rates.
9/15/2008 App Engine Google Low Outage Degradation No
Malicious
service provider
could
All SSO users impersonate a
Yes user at other
service
9/2/2008 Google Apps Google High Security User Impersonation [11] providers.
Full extended
All
8/26/2008 FlexiScale FlexiScale Critical Outage Disaster Recovery No outage
Users unable to
use webmail
due to issues
Many with loading
contacts
between 14:00
Change and 16:00 PT
8/12/2008 Gmail Google High Outage Management No
32
32. Loss of Control
2008 incidents
Data claimed to
20,000 be safe but
Nirvanix
inaccessible
8/8/2008 The Linkup MediaMax Critical Data Loss Closure No
Full outage for 8
All (weekend)
hours
7/20/2008 Amazon S3 AWS Critical Outage Design Fault No
Scheduled
outage window
All exceeded during
upgrade to
MobileMe
7/10/2008 MobileMe Apple Moderate Outage Migration No
Full outage
(except mail)
All during upgrade
to MobileMe
18:00-00:00
7/9/2008 .Mac Apple Info Outage Scheduled Outage No
33
33. Loss of Control
2008 incidents
Result of a
customer
Small subset creating a large
of instances number of
firewall rules
Degraded
and instances.
4/28/2008 EC2 Amazon Low Outage Performance No
Early morning
outage (04:31-
06:48 PST)
All
caused by
authentication
Authentication service overload
2/15/2008 Amazon S3 AWS Low Outage Failures No
34
35. Some Private AND Public Clouds
• MAX - http://www.omb.gov (Private SaaS)
• OOR – (Public IaaS)
– http://ontolog.cim3.net/cgibin/wiki.pl?OpenOntologyRepository
– http://oor-01.cim3.net
• Teragrid - http://www.teragrid.org/ (Hybrid PasS)
36
36. Summary
• 4 Reasons Data Governance is important to cloud
computing (Security, Compliance, Data Loss, Loss of Control)
• 5 Principal Characteristics of the Cloud Architecture
(Abstraction of Infrastructure, Resource Democratization, Services Oriented
Architecture, Elasticity/Dynamism of Resources, Utility model of Consumption &
Allocation )
• 3 Cloud Service Delivery Models (Software as a Service-SaaS,
Platform as a Service-PaaS, Infrastructure as a Service-IaaS)
• 4 Cloud Service Deployment Models (Public, Private, Managed,
Hybrid)
37
37. References
• The authors of this presentation wish to thank the following
authors and organizations for their work in the field of Cloud
Computing:
– National Institute of Standards and Technology (NIST)
– Lamia Youseff, Univ. of California, Santa Barbara
– United States Department of Defense
– The Cloud Security Alliance
– The Cloud computing org (CCID)
– Unisys Corporation
– L-3 Communications
– Morgan Franklin Corporation
38