Trust-driven, Decentralized Data Access Control for Open Network of Autonomous Data Providers

Opioła, Łukasz; Dutka, Łukasz; Słota, Renata; Kitowski, Jacek

doi:10.1109/pst.2018.8514209

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…Examples of such optimizations include prefetching blocks, locally caching data, and fine-tuning network settings. Onedata [39] is able to provide access to distributed data under a single namespace and its main goal is to achieve truly transparent, efficient, scalable and costeffective data access to data providers, but there is still an inherent lack of trust between data [40], and Fig. 2 shows the involved entity association and request processing flow in Onedata.…”

Section: Organizing Data Access Technologies In Distributed Environmentsmentioning

confidence: 99%

Research on Transparent Access Technology of Government Big Data

2024

Teh. vjesn.

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E-governance is capable of driving the transition of government from an administrative power allocation of public resources to a citizen-service-oriented governance model. However, during this transformation, various governmental bodies often face the challenge of "data silos" caused by factors such as cross-regional, cross-business, and cross-departmental operations. Without altering the existing information platforms, transparent access technology serves as a key solution for data access within egovernance systems. It enables convenient access to information resources stored in different mediums and formats, facilitating the sharing and consolidation of information and data within and between governmental departments, thereby addressing the issue of "data silos" and enhancing the comprehensive service capabilities of e-governance. This paper firstly provides an overview of the concept, levels, characteristics, and application scenarios of transparent access to government big data. Secondly, it conducts a comprehensive comparative analysis of transparent access technologies in the context of cloud computing and big data. Lastly, based on the requirements of various transparent access technologies and the application of transparent access to government big data, this paper proposes a visionary framework for transparent access to government big data based on cross-domain semantics and channel coupling. This framework includes modules for cross-domain semantic interoperability, coupling of heterogeneous information channels based on knowledge graph, and tracing of multi-source heterogeneous data, aiming to provide innovative solutions for achieving transparent access to government big data.

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Section: Organizing Data Access Technologies In Distributed Environmentsmentioning

confidence: 99%

Research on Transparent Access Technology of Government Big Data

2024

Teh. vjesn.

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“…Onedata is an important example, the goal of which is to achieve collaboration in global networks of autonomous organizations. It provides a service called Onezone, which implements a common layer between different storage providers and enables universal user authentication [4]. Other notable work include ScienceMesh [5], which provides an ecosystem-common interfaces and tools in order to connect existing heterogeneous services.…”

Section: Related Workmentioning

confidence: 99%

Increasing data availability and fault tolerance for decentralized collaborative data-sharing systems

Jarosz¹,

Opioła²,

Dutka³

et al. 2022

Annals of Computer Science and Information Systems

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In order to realize collaboration on a global scale, academic research requires often large quantities of data to be shared between geographically dispersed organizations. The requirement to protect and govern data in a network of loosely coupled, autonomous institutions is an incentive for decentralized solutions, where the participants are in full control of their data without trusting a third-party provider to store and process the data. In order to increase data availability and fault tolerance in decentralized collaborative systems, we propose a layer, which is based on replication and decentralized authority over the data. The solution consists of an idea of peer-sets, which are groups of peers implementing collective data management, a consensus protocol which synchronizes a distributed ledger between peers, and an atomic commitment protocol used to implement optional two-way references between documents. This architecture may be utilized in various decentralized collaborative data-sharing systems, such as Onedata.

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“…• The peers (organizations) can globally discover and identify each other, as well as all entities -knowing a global identifier of an entity, each peer must be able to find out its origin. This can be achieved using a decentralized ledger or a DNS + HTTPS based approach, where peer domains are transmitted along with client authorization, as shown in [21]. • There is an infrastructure that verifies user identities (authentication), as the aim of this framework is to manage memberships and streamline access control to assets for authenticated clients (authorization).…”

Section: Group Membership Management Frameworkmentioning

confidence: 99%

“…Despite that, it proposes a way to arrange decentralized collaboration based on willful exchange of information in a limited and controlled manner. In regard to security, privacy and trust, this work builds on [21], where the authors presented E a r l y b i r d the concept of trust-driven access control between autonomous peers and shown how trust statements can be used to facilitate secure information flow between independent parties.…”

Section: Security Privacy and Trust Considerationsmentioning

confidence: 99%

Group Membership Management Framework for Decentralized Collaborative Systems

Opioła

Jarosz

Dutka

et al. 2022

csci

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Scientific and commercial endeavors could benefit from cross-organizational, decentralized collaboration, which becomes the key to innovation. This work addresses one of its challenges, namely efficient access control to assets for distributed data processing among autonomous data centers. We propose a group membership management framework dedicated for realizing access control in decentralized environments. Its novelty lies in a synergy of two concepts: a decentralized knowledge base and an incremental indexing scheme, both assuming a P2P architecture, where each peer retains autonomy and has full control over the choice of peers it cooperates with. The extent of exchanged information is reduced to the minimum required for user collaboration and assumes limited trust between peers. The indexing scheme is optimized for read-intensive scenarios by offering fast queries -- look-ups in precomputed indices. The index precomputation increases the complexity of update operations, but their performance is arguably sufficient for large organizations, as shown by conducted tests. We believe that our framework is a major contribution towards decentralized, cross-organizational collaboration.

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Trust-driven, Decentralized Data Access Control for Open Network of Autonomous Data Providers

Cited by 5 publications

References 31 publications

Research on Transparent Access Technology of Government Big Data

Research on Transparent Access Technology of Government Big Data

Increasing data availability and fault tolerance for decentralized collaborative data-sharing systems

Group Membership Management Framework for Decentralized Collaborative Systems

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