The Approach to Managing Provenance Metadata and Data Access Rights in Distributed Storage Using the Hyperledger Blockchain Platform

Demichev, Andrey; Kryukov, Alexander; Prikhodko, Nikolai

doi:10.1109/ispras.2018.00028

Cited by 17 publications

(6 citation statements)

References 5 publications

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“…The proposed model in this article is based on HLF and HLC, which offers the following major benefits. [10] [34] (1) It is distinguished from the others by its usage of the permissioned blockchain idea, in which transaction processing is delegated to a select group of trustworthy network members. (2) As a consequence, the resulting environment is more regulated and predictable than public permissionless blockchains.…”

Section: F) Hyperledger Blockchain Platformmentioning

confidence: 99%

“…From a functional standpoint, the HLF network's nodes are classified as follows [34]: (1) Clients initiate transactions, participate in their processing, and broadcast transactions to ordering services. ( 2) Peers execute the transaction processing workflow, verify them, and maintain the blockchain registry; the blockchain registry is an append-only data structure that contains a hash chain of all transactions, as well as a concise representation of the latest ledger state; (3) Ordering Service Nodes (OSN) or, simply, orders establish the general order of all transactions in the blockchain using the distributed consensus algorithm; each transaction contains updates to the system's state, the history of which is stored in the blockchain, as well as cryptographic signatures of endorsing peers; The separation of processing nodes (peers) and transaction order keeps HLF's consensus as modular as feasible and facilitates protocol replacement.…”

Section: F) Hyperledger Blockchain Platformmentioning

confidence: 99%

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Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Elgohary¹,

Darwish

Mesbah

2022

IEEE Access

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Digital evidence is critical in cybercrime investigations because it is used to connect individuals to illegal activity. Digital evidence is complicated, diffuse, volatile, and easily altered, and as such, it must be protected. The Chain of Custody (CoC) is a critical component of the digital evidence procedure. The aim of the CoC is to demonstrate that the evidence has not been tampered with at any point throughout the investigation. Because the uncertainty associated with digital evidence is not being assessed at the moment, it is impossible to determine the trustworthiness of CoC. As scientists, forensic examiners have a responsibility to reverse this tendency and officially confront the uncertainty inherent in any evidence upon which they base their judgments. To address these issues, this article proposes a new paradigm for ensuring the integrity of digital evidence (CoC documents). The new paradigm employed fuzzy hash within blockchain data structure to handle uncertainty introduced by errorprone tools when dealing with CoC documents. Traditional hashing techniques are designed to be sensitive to small input modifications and can only determine if the inputs are exactly the same or not. By comparing the similarity of two images, fuzzy hash functions can determine how different they are. We provide a case study for image forensics to illustrate the usefulness of this model in introducing forensic preparedness to computer systems and enabling a more effective digital investigation procedure.

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Section: F) Hyperledger Blockchain Platformmentioning

confidence: 99%

Section: F) Hyperledger Blockchain Platformmentioning

confidence: 99%

Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Elgohary¹,

Darwish

Mesbah

2022

IEEE Access

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“…Smart contracts can automate the blockchain-enabled provenance systems without the off-chain verification [ 62 ]. A function for tracing the data deviation is designed into smart contracts with built-in access rules to protect data privacy in a distributed ledger [ 63 ]. SmartProvenance [ 64 ] is the blockchain-based distributed data provenance system that facilitates the verification of provenance records and provides trustworthy data and provenance collection using smart contracts and the Open Provenance Model (OPM).…”

Section: Related Workmentioning

confidence: 99%

Hyperledger Fabric Blockchain for Securing the Edge Internet of Things

Pajooh

Rashid

Alam

et al. 2021

Sensors

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Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge. Blockchain technology, as a distributed and decentralized ledger, is a potential solution to tackle the limitations of the current peer-to-peer IoT networks. This paper presents the development of an integrated IoT system implementing the permissioned blockchain Hyperledger Fabric (HLF) to secure the edge computing devices by employing a local authentication process. In addition, the proposed model provides traceability for the data generated by the IoT devices. The presented solution also addresses the IoT systems’ scalability challenges, the processing power and storage issues of the IoT edge devices in the blockchain network. A set of built-in queries is leveraged by smart-contracts technology to define the rules and conditions. The paper validates the performance of the proposed model with practical implementation by measuring performance metrics such as transaction throughput and latency, resource consumption, and network use. The results show that the proposed platform with the HLF implementation is promising for the security of resource-constrained IoT devices and is scalable for deployment in various IoT scenarios.

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“…To identify deepfake video, authors (Hasan and Salah, 2019) briefly present a solution using the Ethereum blockchain to keep track of video changes and from that detect and combat the deepfake digital content. By using blockchain HF, authors in (Demichev et al , 2018) design a system called ProvHL to manage provenance data when transitioning in the storage of files and using that to manage access control from the user. MedichanTM (Rouhani et al , 2018) applies HF for processing provenance data in the medical context.…”

Section: Related Workmentioning

confidence: 99%

An effective and elastic blockchain-based provenance preserving solution for the open data

Dang

Duong

2021

IJWIS

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Purpose In the open data context, the shared data could come through many transformation processes, originating from many sources, which exposes the risk of non-authentic data. Moreover, each data set has different properties, shared under various licenses, which means the updated data could change its characteristics and related policies. This paper aims to introduce an effective and elastic solution to keep track of data changes and manage their characteristics within the open data platform. These changes have to be immutable to avoid violated modification and could be used as the certified provenance to improve the quality of data. Design/methodology/approach This paper will propose a pragmatic solution that focuses on the combination of comprehensive knowledge archive network – the broadest used open data platform and hyperledger fabric blockchain to ensure all the changes are immutable and transparent. As using smart contracts plus a standard provenance data format, all processes are running automatically and could be extended to integrate with other provenance systems and so the introduced solution is quite flexible to be used in different open data ecosystems and real-world application domains. Findings The research involves some related studies about the provenance system. This study finds out that most of the studies are focused on the commercial sector or applicable to a specific domain and not relevant for the open-data section. To show that the proposed solution is a logical and feasible direction, this paper conducts an experimental sample to validate the result. The testing model is running successfully with an elastic system architect and promising overall performance. Originality/value Open data is the future of many businesses but still does not receive enough attention from the research community. The paper contributes a novel approach to protect the provenance of open data.

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The Approach to Managing Provenance Metadata and Data Access Rights in Distributed Storage Using the Hyperledger Blockchain Platform

Cited by 17 publications

References 5 publications

Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Hyperledger Fabric Blockchain for Securing the Edge Internet of Things

An effective and elastic blockchain-based provenance preserving solution for the open data

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