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High-Confidence Computing最新文献

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IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
Secure and trusted sharing mechanism of private data for Internet of Things 安全可信的物联网私有数据共享机制
IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-12-24 DOI: 10.1016/j.hcc.2024.100273
Mengyuan Li , Shaoyong Guo , Wenjing Li , Ao Xiong , Xiaoming Zhou , Jun Qi , Feng Qi , Dong Wang , Da Li
In recent years, the rapid development of Internet of Things (IoT) technology has led to a significant increase in the amount of data stored in the cloud. However, traditional IoT systems rely primarily on cloud data centers for information storage and user access control services. This practice creates the risk of privacy breaches on IoT data sharing platforms, including issues such as data tampering and data breaches. To address these concerns, blockchain technology, with its inherent properties such as tamper-proof and decentralization, has emerged as a promising solution that enables trusted sharing of IoT data. Still, there are challenges to implementing encrypted data search in this context. This paper proposes a novel searchable attribute cryptographic access control mechanism that facilitates trusted cloud data sharing. Users can use keywords To efficiently search for specific data and decrypt content keys when their properties are consistent with access policies. In this way, cloud service providers will not be able to access any data privacy-related information, ensuring the security and trustworthiness of data sharing, as well as the protection of user data privacy. Our simulation results show that our approach outperforms existing studies in terms of time overhead. Compared to traditional access control schemes,our approach reduces data encryption time by 33%, decryption time by 5%, and search time by 75%.
近年来,物联网(Internet of Things, IoT)技术的快速发展,使得存储在云端的数据量显著增加。然而,传统的物联网系统主要依赖云数据中心进行信息存储和用户访问控制服务。这种做法会在物联网数据共享平台上造成隐私泄露的风险,包括数据篡改和数据泄露等问题。为了解决这些问题,区块链技术凭借其固有的特性,如防篡改和去中心化,已经成为一种有前途的解决方案,可以实现物联网数据的可信共享。尽管如此,在这种情况下实现加密数据搜索仍然存在挑战。提出了一种新的可搜索属性加密访问控制机制,促进可信云数据共享。用户可以使用关键字对特定数据进行高效搜索,并在数据属性与访问策略一致的情况下对内容密钥进行解密。这样,云服务提供商将无法访问任何与数据隐私相关的信息,保证了数据共享的安全性和可信度,也保护了用户数据隐私。我们的仿真结果表明,我们的方法在时间开销方面优于现有的研究。与传统的访问控制方案相比,我们的方法将数据加密时间缩短33%,解密时间缩短5%,搜索时间缩短75%。
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引用次数: 0
Kubernetes application performance benchmarking on heterogeneous CPU architecture: An experimental review Kubernetes应用程序在异构CPU架构上的性能基准测试:实验回顾
IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-12-18 DOI: 10.1016/j.hcc.2024.100276
Jannatun Noor, MD Badsha Faysal, MD Sheikh Amin, Bushra Tabassum, Tamim Raiyan Khan, Tanvir Rahman
With the rapid advancement of cloud technologies, cloud services have enormously contributed to the cloud community for application development life-cycle. In this context, Kubernetes has played a pivotal role as a cloud computing tool, enabling developers to adopt efficient and automated deployment strategies. Using Kubernetes as an orchestration tool and a cloud computing system as a manager of the infrastructures, developers can boost the development and deployment process. With cloud providers such as GCP, AWS, Azure, and Oracle offering Kubernetes services, the availability of both x86 and ARM platforms has become evident. However, while x86 currently dominates the market, ARM-based solutions have seen limited adoption, with only a few individuals actively working on ARM deployments. This study explores the efficiency and cost-effectiveness of implementing Kubernetes on different CPU platforms. By comparing the performance of x86 and ARM platforms, this research seeks to ascertain whether transitioning to ARM presents a more advantageous option for Kubernetes deployments. Through a comprehensive evaluation of scalability, cost, and overall performance, this study aims to shed light on the viability of leveraging ARM on different CPUs by providing valuable insights.
随着云技术的快速发展,云服务为云社区的应用程序开发生命周期做出了巨大贡献。在这种情况下,Kubernetes作为云计算工具发挥了关键作用,使开发人员能够采用高效和自动化的部署策略。使用Kubernetes作为编排工具,使用云计算系统作为基础设施的管理器,开发人员可以加快开发和部署过程。随着诸如GCP、AWS、Azure和Oracle等云提供商提供Kubernetes服务,x86和ARM平台的可用性已经变得很明显。然而,虽然x86目前主导着市场,但基于ARM的解决方案的采用有限,只有少数个人积极从事ARM部署。本研究探讨了在不同CPU平台上实现Kubernetes的效率和成本效益。通过比较x86和ARM平台的性能,本研究试图确定过渡到ARM是否为Kubernetes部署提供了更有利的选择。通过对可扩展性、成本和整体性能的全面评估,本研究旨在通过提供有价值的见解,阐明在不同cpu上利用ARM的可行性。
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引用次数: 0
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High-Confidence Computing
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