Provably secure data selective sharing scheme with cloud-based decentralized trust management systems

S. Velmurugan, M. Prakash, S. Neelakandan, Arun Radhakrishnan
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Abstract

The smart collection and sharing of data is an important part of cloud-based systems, since huge amounts of data are being created all the time. This feature allows users to distribute data to particular recipients, while also allowing data proprietors to selectively grant access to their data to users. Ensuring data security and privacy is a formidable task when selective data is acquired and exchanged. One potential issue that emerges is the risk that data may be transmitted by cloud servers to unauthorized users or individuals who have no interest in the particular data or user interests. The prior research lacks comprehensive solutions for balancing security, privacy, and usability in secure data selective sharing schemes inside Cloud-Based decentralized trust management systems. Motivating factors for settling this gap contain growing concerns concerning data privacy, the necessity for scalable and interoperable frameworks, and the increasing dependency on cloud services for data storage and sharing, which necessitates robust and user-friendly mechanisms for secure data management. An effective and obviously secure data selective sharing and acquisition mechanism for cloud-based systems is proposed in this work. We specifically start by important a common problematic related to the selective collection and distribution of data in cloud-based systems. To address these issues, this study proposes a Cloud-based Decentralized Trust Management System (DTMS)-connected Efficient, Provably Secure Data Selection Sharing Scheme (EPSDSS). The EPSDSS approach employs attribute-based encryption (ABE) and proxy re-encryption (PRE) to provide fine-grained access control over shared data. A decentralized trust management system provides participant dependability and accountability while mitigating the dangers of centralized trust models. The EPSDSS-PRE paradigm would allow data owners to regulate granular access while allowing users to customize data collection without disclosing their preferences. In our strategy, the EPSDSS recognizes shared data and generates short fingerprints for information that can elude detection before cloud storage. DTMS also computes user trustworthiness and improves user behaviour administration. Our research demonstrates that it’s able to deliver trustworthy and safe data sharing features in cloud-based environments, making it a viable option for enterprises seeking to protect sensitive data while maximizing collaboration and utilization of resources.
基于云的分散式信任管理系统的可证明安全的数据选择性共享方案
数据的智能收集和共享是云系统的重要组成部分,因为海量数据正在不断产生。这一功能允许用户将数据分发给特定的接收者,同时也允许数据所有者有选择地允许用户访问其数据。在有选择地获取和交换数据时,确保数据安全和隐私是一项艰巨的任务。出现的一个潜在问题是,云服务器可能会将数据传输给未经授权的用户或对特定数据或用户利益不感兴趣的个人。先前的研究缺乏全面的解决方案,无法在基于云的分散式信任管理系统内的安全数据选择性共享方案中平衡安全性、隐私性和可用性。解决这一问题的动因包括人们对数据隐私的日益关注、可扩展和可互操作框架的必要性,以及数据存储和共享对云服务的依赖性日益增加,这就要求建立健全和用户友好的安全数据管理机制。本作品为基于云的系统提出了一种有效且明显安全的数据选择性共享和获取机制。具体来说,我们首先要重视与云系统中数据选择性收集和分发有关的常见问题。为了解决这些问题,本研究提出了一种基于云的去中心化信任管理系统(DTMS)连接的高效、可证明安全的数据选择共享方案(EPSDSS)。EPSDSS 方法采用基于属性的加密(ABE)和代理重加密(PRE)来提供对共享数据的细粒度访问控制。分散式信任管理系统为参与者提供了可靠性和问责制,同时减轻了集中式信任模型的危险。EPSDSS-PRE 模式允许数据所有者对细粒度访问进行管理,同时允许用户在不透露其偏好的情况下定制数据收集。在我们的策略中,EPSDSS 可识别共享数据,并为云存储前可能无法检测到的信息生成简短的指纹。DTMS 还能计算用户的可信度并改进用户行为管理。我们的研究表明,它能够在基于云的环境中提供可信和安全的数据共享功能,使其成为企业寻求保护敏感数据的可行选择,同时最大限度地提高协作和资源利用率。
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