Efficient way to ensure the data security in cloud computing

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Anil Kumar Pallikonda, Kavitha Chaduvula, B. Markapudi, C. Jyothi, D. Indira
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引用次数: 0

Abstract

Abstract This manuscript proposes a cloud data storage security, which has always been an important aspect of Quality of Service (QOS). Here, an effectual and flexible distributed scheme (DS) with Explicit Dynamic Data Support (EDDS) is proposed to ensure the accuracy of user data in the cloud. By using hemimorphic token with distributed verification of erasure-coded data, the proposed scheme achieves the integration of storage correctness insurance and data error localization. The proposed scheme supports secure and efficient dynamic operations on data blocks, such as data update, delete and append. The performance analysis shows that the proposed scheme is highly efficient.
确保云计算数据安全的有效方法
摘要本文提出了一种云数据存储安全性,这一直是服务质量(QOS)的一个重要方面。本文提出了一种具有显式动态数据支持(EDDS)的有效且灵活的分布式方案,以确保云中用户数据的准确性。该方案将半形态令牌与擦除编码数据的分布式验证相结合,实现了存储正确性保障和数据错误定位的集成。该方案支持对数据块进行安全高效的动态操作,如数据更新、删除和附加。性能分析表明,该方案是高效的。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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