Advanced security model for multimedia data sharing in Internet of Things

Dhar, Shalini; Khare, Ashish; Singh, Rajani

doi:10.1002/ett.4621

Cited by 32 publications

(25 citation statements)

References 51 publications

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“…Accordingly, such results provide evidence that the suggested model is centred on sound theoretical underpinnings from studies in regard to all three research perspectives. [29,77,78].…”

Section: Discussionmentioning

confidence: 99%

“…e IoT is recognised as a modern technology that comprises smart objects, which further encompass physical mechanisms [78], such as actuators and sensors charged with determining the object's internal state, or the external setting [18] and accordingly carrying out various actions in line with the gathered information [67,68]. e information the sensors generate may undergo subsequent processing [73], with actions then determined after [18,19].…”

Section: Hybrid Blockchainsmentioning

confidence: 99%

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The Blockchain Framework for the Sharing of Data between Training Providers Based on the Internet of Things

Alotaibi¹

2022

Scientific Programming

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Blockchain technology is recognised as being a key focus when it comes to modern-day studies and interest on a global scale, with the new block of transactions responsible for the continued growth and expansion of a distributed ledger that details transactional data, complete with immutable and verifiable structures. A greater degree of transparency, privacy, security, and traceability is provided by blockchain when a comparison is drawn with more conventional strategies. As a result of its secure and more progressive elements, blockchain is applied in a number of different arenas, including digital transactions, education, the healthcare industry, the Internet of Things (IoT), trade finance, and the training sector. Importantly, a notable effect on all applied fields has been witnessed as a result of blockchain technology, with data and transactional reliability, as well as privacy, recognised as the most important aspects when it comes to data-sharing in the training arena specifically. Very few models and frameworks are aligned with the guidelines put forth in this sector; as such, this report seeks to consider the pressing need to determine a model and framework to facilitate the sharing of data between training providers in line with the IoT. This study, therefore, centres on the creation of a blockchain model, with the creation of a sole recognition system for professionals seen to be advantageous for all such providers, specifically in the mind of providing a greater degree of clarity and simplification to the system in line with the IoT. The suggested model is focused on a number of different elements that have been identified as a result of studied theories, with consideration of the three different standpoints and professional assessments of 16 unique items.

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“…Accordingly, such results provide evidence that the suggested model is centred on sound theoretical underpinnings from studies in regard to all three research perspectives. [29,77,78].…”

Section: Discussionmentioning

confidence: 99%

Section: Hybrid Blockchainsmentioning

confidence: 99%

The Blockchain Framework for the Sharing of Data between Training Providers Based on the Internet of Things

Alotaibi¹

2022

Scientific Programming

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“…The restriction of node capacity in terms of size and gazette of scalability and protocols makes the ehealthcare application more reliable, such as node-time and increased security [46,47]. Implementing a crosschain solution that reduces transactional costs and improves communication with the fully connected network.…”

Section: Comparison With Other State-of-the-artmentioning

confidence: 99%

“…Significantly, a network that stores large amounts of sensitive medical information exchanged between various medical engineers creates a forgery opportunity for information leakage and alteration [48,49]. While the blockchain hyperledger fabric enabled distributed platform provides incentives for e-healthcare application adaptation, it also increases the associated patients' records security and privacy rights under the policy and regulation, designs the blockchain immutable structure, and deploys it for ledger preservation in a permissioned network [39,47]. And so, it creates a new burden for engineers to tackle regulatory compliance-related issues, and private network enables intelligence verification and validation limitations and pertains to healthcare information sustainability management and challenges.…”

Section: Comparison With Other State-of-the-artmentioning

confidence: 99%

BIoMT Modular Infrastructure: The Recent Challenges, Issues, and Limitations in Blockchain Hyperledger-Enabled E-Healthcare Application

Shaikh

Khan

Teng

et al. 2022

Wireless Communications and Mobile Computing

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This paper presents a layered hierarchy that depicts the progressive relationship between data, information, knowledge, and wisdom. To begin with, data is gathered and organized into information. Information is gathered, filtered, refined, and put through an investigation process to create knowledge. Wisdom is attained after knowledge discovery through the process of filtration and aggregation through experience. The layered hierarchy in the domain of e-healthcare necessitates higher scheduling costs for data collection, processing wisdom, and management, which is also an insecure and untrustworthy process for progressive medical service. The medical industry faces a difficult problem in providing collected data integrity, information reliability, and knowledge trustworthiness for the service of progressive medical relationships in the face of an increasing number of day-to-day records. The blockchain consortium hyperledger (fabric) has been used in this paper to act as a bridge that bridges the gap between electronic data, information, knowledge, and wisdom (DIKW) movement and processes by enabling the process of the layered hierarchy of schedule information and management and providing security and transparency. For e-healthcare information management and privacy, the DIKW-ledger, such as patients’ consultancy information, availing medical services, personal records, appointments, treatment details, and other health-related transactions, a consortium hyperledger fabric-enabled efficient architecture is proposed. This proposed architecture creates two networks: a public network for medical stakeholders to exchange and agree on specific medical activities before being preserved on distributed storage (read-only after record registration) and a private network for complete DIKW process scheduling and management. We designed and created smart contracts for this purpose, as well as use-case diagrams to describe the overall execution process. The proposed architectural solution provides more efficient information integrity, provenance, and storage procedures to immutably preserve the medical ledger in a permissioned hash-encrypted structure.

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“…Sharing personal health data from clinical records, wearable fitness and location-tracking devices enables clinical researchers to deliver more timely and effective medical interventions to address significant health challenges in society [ 12 ]. However, the consequences of high-profile cyber-attacks on care institutions and the subsequent implications for patient data privacy [ 13 ] have led researchers to consider alternative data exchange models for better securing and protecting patients’ health data, including Internet of Things (IoT) approaches [ 14 , 15 ] and DLTs [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Examining public views on decentralised health data sharing

Neumann

Davidge²,

Harding³

et al. 2023

PLoS ONE

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In recent years, researchers have begun to explore the use of Distributed Ledger Technologies (DLT), also known as blockchain, in health data sharing contexts. However, there is a significant lack of research that examines public attitudes towards the use of this technology. In this paper, we begin to address this issue and present results from a series of focus groups which explored public views and concerns about engaging with new models of personal health data sharing in the UK. We found that participants were broadly in favour of a shift towards new decentralised models of data sharing. Retaining ‘proof’ of health information stored about patients and the capacity to provide permanent audit trails, enabled by immutable and transparent properties of DLT, were regarded as particularly valuable for our participants and prospective data custodians. Participants also identified other potential benefits such as supporting people to become more health data literate and enabling patients to make informed decisions about how their data was shared and with whom. However, participants also voiced concerns about the potential to further exacerbate existing health and digital inequalities. Participants were also apprehensive about the removal of intermediaries in the design of personal health informatics systems.

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Advanced security model for multimedia data sharing in Internet of Things

Cited by 32 publications

References 51 publications

The Blockchain Framework for the Sharing of Data between Training Providers Based on the Internet of Things

The Blockchain Framework for the Sharing of Data between Training Providers Based on the Internet of Things

BIoMT Modular Infrastructure: The Recent Challenges, Issues, and Limitations in Blockchain Hyperledger-Enabled E-Healthcare Application

Examining public views on decentralised health data sharing

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