BDSS-FA: A Blockchain-Based Data Security Sharing Platform With Fine-Grained Access Control

Hong, Xu; Qian, He; Li, Xuecong; Jiang, Bingcheng; Qin, Kuangyu

doi:10.1109/access.2020.2992649

Cited by 58 publications

(29 citation statements)

References 12 publications

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“…Blockchain Driven Access Control Mechanisms, Models and Frameworks: A Systematic Literature Review IoT -The majority of the relevant primary studies are specific to the IoT domain, and the evident reasons have been discussed above. An authorization, delegation model and access control for IoT systems is based on blockchain technology targeting various sub-domains [15,18,23,25,31,32,35].…”

Section: Rq3: What Are the Various Application Domains Covered By Blo...mentioning

confidence: 99%

“…[23] (BDSS-FA)Hong Xu et alA blockchain-based fine-grained access control (BSDS-FA) in the internet of things environment that allows secure data sharing.Blockchain-assisted secure authentication system and fine-grained access control for Social Linked Data (SOLID).Blockchain-assisted attributed-based collaborative access control scheme for providing decentralized, flexible, and fine-grained authorization for IoT devices and providing resistance against possible attempts of unauthorized access on IoT device resources.Smart contract-driven access policy enforcement to address the issues of trust and authentication for access control in IoT networks. [35] (CBACS-EIoT) Sourav Saha et alA blockchain-enabled access control scheme where mutual authentication between the entities take place in the internet of things environment Generic IoT A ciphertext-policy attribute-based encryption (CP-ABE) and Ethereum blockchain-driven access control framework for secure cloud storage.…”

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confidence: 99%

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Blockchain Driven Access Control Mechanisms, Models and Frameworks: A Systematic Literature Review

Dar¹,

Baba

Lone

et al. 2022

JISCR

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Access control or authorization is referred to as the confinement of specific actions of an entity, thereby allowing them to be performed as per certain rules. Blockchain-driven access control mechanisms gained considerable attention directly after applications beyond the premise of cryptocurrency were found. However, there are no systematic efforts to analyze existing empirical evidence. To this end, we aim to synthesize litera- ture to understand the state-of-the-art blockchain driven access control mechanisms with respect to underlying platforms, utilized blockchain properties, nature of the mod- els and associated testbeds and tools. We conducted the review in a systematic way. Meta analysis and thematic synthesis were performed on the findings from relevant primary studies, in order to answer the framed research questions in perspective. We identified 76 relevant primary studies that passed the quality assessment. The problems targeted by relevant studies were single point of failure, security, and privacy, etc. The meta-analysis of the primary studies suggests the use of different blockchain platforms along with several application domains where different blockchain proprieties were utilized. In this paper, we present a systematic literature review of blockchain driven access control systems. In hindsight, we present a taxonomy of blockchain-driven access control systems to better understand the immense implications of this field spanning various application domains

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Section: Rq3: What Are the Various Application Domains Covered By Blo...mentioning

confidence: 99%

mentioning

confidence: 99%

Blockchain Driven Access Control Mechanisms, Models and Frameworks: A Systematic Literature Review

Dar¹,

Baba

Lone

et al. 2022

JISCR

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“…The proposed method used on chain and out of chain methods is suitable for consortium blockchain, which reduces data amount thus solving storage related problems. A blockchain based data sharing platform [24] used fine grained access control. The proposed system has four functions: system initialization, user registration, data upload and data download.…”

Section: Literature Reviewmentioning

confidence: 99%

Centralization of Big Data Using Distributed Computing Approach in IoT

Sawiris¹,

El-Gaber²,

Abdel-Fattah³

2021

IJIES

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Centralized big data is an emerging field that manages information in one common repository. Currently, Internet of Things (IoT) devices are increasing massively for sensing and transmitting data to the big data environment. This information is sensitive and easily traced by attackers due to the centralized data management. To address the security and privacy issues and avoid the system in a single point of failure, in this paper the researchers proposed a new model, namely, BOBS CRABID i.e. Blockchain Based Secure Centralized Big Data model using distributed computing approach. In big data, Hadoop MapReduce is one of the distributed computing approaches which handles all information in a distributed manner. The BOBS CRABID model is designed by three ideas as Multi-Factor authentication, IoT Devices Data Collection and Processing, and Optics based MapReduce for Data Clustering. In multi-factor authentication, a lightweight camellia key generation algorithm (LCKGA) is used for their authenticating all devices based on ID, IP address, MAC and PUF. These credentials are saved in Blockchain Security Entity for authentication verification. All transactions are hashed and stored in the blockchain using Keccak hash algorithm which performs better than the traditional hashing (SHA) 2. Then the researchers conducted IoT devices data collection and pre-processing using Cross Correlation and Min-Max Normalization for redundant data pruning and normalization, respectively. Finally, clustering is performed in a distributed way for optimizing the storage and scalability performance. For that MapReduce is used in which OPTICS algorithm is applied for clustering based on the data size, type of context and nature of data (sensitive or non-sensitive). In this way, data is stored in the big data environment. Experiments were conducted for the proposed BOBS CRABID model and compared with the well-known methods using Hadoop 2.7.2. The proposed BOBS-CRABID model achieves better performance in terms of throughput (increase 1500mbps), response time (reduce 150ms), energy consumption (reduce 35%), attack detection rate (increase 30%), accuracy (increase 20%), computation overhead (300 kb), and time reduce 4s).

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“…On the business side, the vast amount of data generated in the big data age makes companies interested in sharing data with each other for greater value [20]. In the research of the Internet of Things which is closely related to data sharing, facing the dramatic increase of data amount, how to establish an effective data sharing mechanism for different organizations in the Internet of Things has become a new challenge [21]. However, ensuring the security of sensitive data is an important issue in the process of data processing, storage, and sharing [22].…”

Section: Data Sharingmentioning

confidence: 99%

Corporate Data Sharing, Leakage, and Supervision Mechanism Research

2021

Sustainability

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Data sharing helps to make full use of each other’s data and enable the digital economy. With the gradual rise of corporate data sharing, the frequent occurrence of data leakage events highlights the dilemma of data sharing, leakage and supervision, which infringes on the data assets of the leaked party. Our paper aims to design an effective data supervision mechanism and achieve the stability of data sharing alliance. Therefore, this paper considers the data technology capabilities of both parties of the data sharing alliance and the benefits and loss of data leakage, establishes the game model and supervision mechanism of data sharing, leakage and supervision under the condition of complete information, and analyzes the game equilibrium and the influence of different supervision levels on the company’s data sharing and leakage behavior. The results show that the company sharing and leaking behavior is affected by both the level of data supervision fines and the relative technical level. Our model can make up for the weakness of the low-tech company, control the company’s choice of leaking behaviors, and ensure the stability of data sharing alliance by designing reasonable data supervision mechanism, especially the severe data supervision strategy.

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BDSS-FA: A Blockchain-Based Data Security Sharing Platform With Fine-Grained Access Control

Cited by 58 publications

References 12 publications

Blockchain Driven Access Control Mechanisms, Models and Frameworks: A Systematic Literature Review

Blockchain Driven Access Control Mechanisms, Models and Frameworks: A Systematic Literature Review

Centralization of Big Data Using Distributed Computing Approach in IoT

Corporate Data Sharing, Leakage, and Supervision Mechanism Research

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