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检索条件"任意字段=2nd International Conference on Cloud Forward - From Distributed to Complete Computing"

共 449 条记录，以下是1-10 订阅

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A Lightweight Fine-Grained Access Control Scheme with forward Security for Mobile Crowdsourcing 2

A Lightweight Fine-Grained Access Control Scheme with Forwar...

引用

2nd international conference on Mobile Internet, cloud computing and Information Security (MICCIS)

作者： Hong, Keyong Wang, Tao Wang, Zhichao Wang, Jintang Shaanxi Normal Univ Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9798350389913;9798350389906

As a service model that leverages large-scale terminal users on mobile devices to collaboratively complete tasks, mobile crowdsourcing services have significant advantages in promoting distributed collaboration and improving task completion efficiency. However, they also present challenges such as task privacy, task assignment and scheduling, and fine-grained access control. The existing cryptographic schemes for mobile crowdsourcing services have not adequately addressed these issues. Therefore, this paper proposes a forward secure attribute-based keyword search scheme tailored for mobile crowdsourcing services, effectively achieving fine-grained access control, fine-grained ciphertext retrieval, forward security, and data outsourcing confidentiality. Security analysis demonstrates that the scheme can withstand the chosen plaintext attacks and also satisfies index privacy and trapdoor unlinkability. Theoretical comparisons and simulation results confirm that the proposed scheme exhibits superior practicality and efficiency compared to related approaches, making it well-suited for mobile crowdsourcing services.

关键词： Mobile Crowdsourcing Services Attribute-based Keyword Search Fine-grained Access Control forward Security Data Outsource

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Reducing Unwanted Service Utilization Based On Invariant Slide Window Feature Selection Using Feed forward Nueral Network in cloud Server Utilization 2

Reducing Unwanted Service Utilization Based On Invariant Sli...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Kaur, Savinder Chitkara University Institute of Engineering and Technology Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350347456

cloud load balancing is distinct as a process of dividing loads and computing possessions in cloud computing. Businesses can manage assignment strains or request stresses by distributing resources across a large number of computers, networks or servers, mainly the traffic in cloud is a big problem approach in service utilization. Carrying the time factor is nondeterminant to improve the quality of the service. cloud load balancing involves keeping workload traffic and requests distributed across the Internet. This reduces the non-related variance features by using Invariant Slide Window Feature Selection (IVSWFS). The selected features difference be trained with spider optimization using feed forward modified Support vector machine (FFSVM) algorithm. This predicts the traffic flow by class by variance level as well classification in precision, recall rate compared to other system. © 2023 IEEE.

关键词： Deep neural networks

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Identification and Analysis of Security Issues in cloud computing 2

Identification and Analysis of Security Issues in Cloud Comp...

引用

2nd international conference on Disruptive Technologies, ICDT 2024

作者： Bundela, Rajmani Dhanda, Namrata Gupta, Kapil Kumar Amity University Uttar Pradesh Lucknow Campus Department of Computer Science and Engineering India

ISBN: (纸本)9798350371055

cloud computing has revolutionized the way businesses manage and store their data, offering scalability, affordability as well as adaptability. But these advantages also bring with them serious security risks. To identify and evaluate almost all the essential security concerns connected to cloud computing, exploring their implications and suggesting strategies to mitigate risks. Through a comprehensive examination of various security dangers including insider threats, data breaches, and compliance issues, this report provides insights for businesses to enhance their cloud security posture and safeguard their sensitive information. Over the last two decades, the landscape of computing has undergone significant changes, transitioning from client-server architectures to distributed systems and ultimately to the centralized virtualization known as cloud computing. cloud computing has arisen as a dominant trend, representing a fundamental shift in how computing resources are accessed and managed. Unlike traditional setups where users had full control over their processes and data stored locally, cloud computing involves the provisioning of services and data storage by remote vendors, placing these resources beyond the direct control or visibility of the client. © 2024 IEEE.

关键词： cloud computing cloud Security cloud Services Hybrid cloud private public

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Improved Efficiency Of Fog And cloud computing Paradigms 2

Improved Efficiency Of Fog And Cloud Computing Paradigms

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2nd IEEE international conference on Advancements and Key Challenges in Green Energy and computing, AKGEC 2024

作者： Wakankar, Ronit Simhachalam, Sumanyu Ganesan, Raghavendran Velmurugan, T. Vellore Institute of Technology School of Electronics Engineering Sense Vellore India

ISBN: (纸本)9798350390179

For effective energy management in smart grids, this research suggests a FOG computing architecture that bridges the gap between the edge and cloud. Facing data congestion in both traditional edge and cloud computing, the system utilizes a two-tiered approach. By preprocessing and filtering sensor data from buildings, edge nodes reduce latency and network traffic. The FOG layer in turn effectively filters data for potential cloud processing while doing real time analysis and decision-making depending on immediate needs. With latency reduction of up to 98.7%, the simulation demonstrates significant benefits over cloud only approaches and enables real time energy adjustments that optimize resource utilization. Overall, scalability and efficient data handling overcome cloud limitations, while enhanced security minimizes reliance on a central cloud. This distributed brain for the grid paves the way for a smarter, more responsive energy landscape, powered by intelligence at the edge. © 2024 IEEE.

关键词： Fog computing

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Application of Blockchain Technology based on Fuzzy Evaluation Algorithm in cloud Auditing 2

Application of Blockchain Technology based on Fuzzy Evaluati...

引用

2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： Xu, Wenda Shu, Lan College of Finance and Economics Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9798350382952

As a traditional thing, the mobile service of digital archives for cloud auditing is not only lack of theoretical research on mobile service of archives, but also the practical application of mobile service in archives. This paper presents the digital archives mobile service mode for cloud auditing, from the user layer, service layer, service layer, platform service resource layer, technical support layer five functional modules of the mobile service model, and put forward three kinds of optimization strategies. The experimental results indicate that as the user information demand, the rapid development of computing technology in communication technology, cloud, mobile service in archives has certain feasibility. The digital archives mobile service can provide the user with access to archives information ubiquitous, archives and users can easily interact in the service process and the closer the distance between the user archives. the ways and contents of mobile archives will become more and more abundant, which will broaden the way for users to obtain archives information. © 2024 IEEE.

关键词： Digital devices

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cloud-Driven Machine Learning with AWS: A Comprehensive Review of Services 2

Cloud-Driven Machine Learning with AWS: A Comprehensive Revi...

引用

2nd IEEE international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, ICIITCEE 2024

作者： Ravindranathan, Manya K. Sendil Vadivu, D. Rajagopalan, Narendran National Institute of Technology Puducherry Department of Computer Science and Engineering Karaikal India

ISBN: (纸本)9798350306415

With the rise of cloud computing, people now have 24/7 online access to IT resources, which is a transformational force. Amazon Web Services (AWS) is a market leader in the field of cloud service providers, providing a broad range of platform, software, and infrastructure services. In this review article, we explore the domain of cloud-driven Machine Learning (ML) with an emphasis on the extensive resources and support provided by AWS. The ability of the AWS ecosystem to provide scalable and effective ML applications is highlighted in this study. It looks at the range of AWS services created to make building, training, and deploying cloud-based ML applications easier. Our analysis includes an AWS Machine Learning as a Service (MLaaS) product categorization, illuminating the range of resources and options available to ML practitioners. We also take into account findings from comparable studies that have used AWS services for a range of purposes. In conclusion, this article offers a thorough introduction for individuals wishing to explore the world of cloud- driven ML using AWS. It provides insightful information on AWS services, their uses, and how they are influencing ML in the cloud. © 2024 IEEE.

关键词： AWS AWS Free Tier Services cloud computing distributed computing Machine Learning as a Service

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Analysis of ERP Enterprise Management Information System based on cloud computing Mode 2

Analysis of ERP Enterprise Management Information System bas...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Duan, Lianhe Jingchu University of Technology Hubei China

ISBN: (纸本)9798350347456

ERP management information systems are widely used in the process of enterprise operation and development. By optimizing the allocation of management resources such as enterprise customers, project operations, material procurement, supply, and production, the utility of various resources in the enterprise is maximized, with integrated, systematic, and organizational management characteristics. Based on this, this article discusses cloud computing and ERP systems, analyzes the positive effects of cloud computing ERP systems on enterprises, and studies the specific applications of ERP systems in enterprises under cloud computing mode. At present, many large and medium-sized enterprises in China have established a complete ERP enterprise management information system. Considering the expansion of enterprise scale and the multiplication of enterprise management data, the existing ERP management information system has shown some limitations. With the rapid development of computer technology, the concept of cloud computing has been gradually promoted and applied. Based on the characteristics of cloud computing, ERP enterprise management information system began to consciously combine with the concept of cloud computing. This paper mainly introduces the characteristics and advantages of ERP enterprise management information system based on cloud computing mode, and analyzes its application effect in depth. © 2023 IEEE.

关键词： Enterprise resource planning

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A Research on Various Security Aware Mechanisms in Multi-cloud Environment for Improving Data Security 2

A Research on Various Security Aware Mechanisms in Multi-Clo...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Harish Naik, B.M. Kannan, Jayanthi Jain University Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350347456

The idea of multi-cloud computing has broadened the field of cloud computing and has emerged as a popular term currently. The term "multi-cloud"refers to the use of services from numerous heterogeneous cloud service providers through a common framework at the user's (e.g., organizations or firms) facilities. cloud computing is faced with several issues and research gaps, prompting academic and commercial work to pave the way for a multi-cloud system. The concept of multi-cloud is growing, and various research efforts are currently ongoing to create a multi-cloud framework that is supported in all aspects such as easy configuration, security, management, etc. In this study, the main ideas, difficulties, requirements, and future perspectives for multi-cloud environments are discussed briefly. Moreover, a study of conventional methods and solutions given by various multi-cloud frameworks are analyzed, along with their benefits and downsides are also discussed. © 2023 IEEE.

关键词： cloud computing architecture

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Advanced Privacy-Aware Protocol Placement in cloud Security 2

Advanced Privacy-Aware Protocol Placement in Cloud Security

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Singh, Dhiraj Chitkara, Mansi Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350347456

The use of the service or set of available resources through the Internet has been referred to as cloud computing. distributed data centers around the world offer a cloud service. Because of the rapid growth of the art, recently, security is always a significant issue. Recent demand for cloud computing has raised the security issue for service providers and consumers. Data individuals or organizations that can be stored in the information cloud face a potential threat from hackers, and safer can be powerful, able to identify the potential security vulnerabilities. Our work in this area allows a there are a few strategies and methods that are utilized to keep up the security of information. It will reinforce the security at all levels. The proposed work is finished using the cloud device. We point a strategy for giving staggered security of text information appropriated in the cloud. The proposed Advanced Privacy-Aware Protocol (APAP) development ensures data extraction computations to ensure data protection (APAP) development and technique used in the proposed framework. © 2023 IEEE.

关键词： Cryptography

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Multi-criteria Rank Based Geo-distributed Load Balancing for cloud computing 2

Multi-criteria Rank Based Geo-distributed Load Balancing for...

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2nd international conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024

作者： Darius, Preethi S. H. Krishna Sowjanya, K. Majumder, Pratham Manju, V.N. Saha, Sanchari Suneetha, J. Mitra, Paramita Cmrit Department of Compter Science and Engineering Bengaluru India University Department of Information Science and Engineering Bangalore India School of Computer Science and Engineering Reva University Bengaluru India

ISBN: (纸本)9798350328202

Efficient delivery of cloud computing services is subject to the efficiency of the service broker policies and the load balancing algorithms. The service broker distributes the load coming from the user base across the data centers of the cloud Service Providers(CSPs). Selecting the appropriate data center to process the user requests is highly crucial in order to meet the required Quality-of-Service(QoS) parameters. A novel service broker policy, Multi-criteria Rank Based geo-distributed Load Balancing(MCRBgLB) algorithm is proposed that distributes the load to the data centers based on the rank that is dynamically calculated for each data center. The performance of the proposed algorithm is compared with the baseline algorithms, Closest Data Center Algorithm (CDCA) and Optimized Response Time Algorithm (ORTA) in cloud Analyst simulation toolkit. The proposed algorithm outperforms the baseline algorithms in terms of cost by up to 27% and processing times by up to 63% in various simulation scenarios. © 2024 IEEE.

关键词： Quality of service

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