IoT data privacy via blockchains and IPFS

Ali, Muhammad Salek; Dolui, Koustabh; Antonelli, Fabio

doi:10.1145/3131542.3131563

Cited by 143 publications

(74 citation statements)

References 8 publications

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“…Blockchains, from a data structure perspective, are distributed databases with decentralized consensus on the entries being added to them. In applications involving data transfer, a blockchain can be used to create an immutable log of all data generation and access events, while smart contracts can be used to program responses to certain events or to enforce service level agreements [19]. Subsequently, this log can be used for transparency and accountability.…”

Section: Architecture Of the Rhm Systemmentioning

confidence: 99%

“…Towards a hybridization of on-chain and off-chain solutions, Enigma [28] introduced off-chain cloud-based storage and utilizes distributed-hash-tables for IoT data management. Further down into hybrid on-chain/off-chain solutions, [19] uses IPFS as a decentralized storage medium to share static data files, while maintaining records on blockchains.…”

Section: Related Workmentioning

confidence: 99%

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A Decentralized Peer-to-Peer Remote Health Monitoring System

Ali

Vecchio

Putra

et al. 2020

Sensors

Self Cite

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Within the Internet of Things (IoT) and blockchain research, there is a growing interest in decentralizing health monitoring systems, to provide improved privacy to patients, without relying on trusted third parties for handling patients’ sensitive health data. With public blockchain deployments being severely limited in their scalability, and inherently having latency in transaction processing, there is room for researching and developing new techniques to leverage the security features of blockchains within healthcare applications. This paper presents a solution for patients to share their biomedical data with their doctors without their data being handled by trusted third party entities. The solution is built on the Ethereum blockchain as a medium for negotiating and record-keeping, along with Tor for delivering data from patients to doctors. To highlight the applicability of the solution in various health monitoring scenarios, we have considered three use-cases, namely cardiac monitoring, sleep apnoea testing, and EEG following epileptic seizures. Following the discussion about the use cases, the paper outlines a security analysis performed on the proposed solution, based on multiple attack scenarios. Finally, the paper presents and discusses a performance evaluation in terms of data delivery time in comparison to existing centralized and decentralized solutions.

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Section: Architecture Of the Rhm Systemmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Decentralized Peer-to-Peer Remote Health Monitoring System

Ali

Vecchio

Putra

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Blockchain networks are very hard for a malicious attacker to gain control because they have an enormous price tag attached to such efforts. As a result, by securing IoT networks with blockchain technology, the developers and users can be safe from most attacks, except individuals or institutions that are willing to pay the price [37].…”

Section: Impact Of the Business Modelsmentioning

confidence: 99%

IoT and Blockchain in the Development of Smart Cities

Khrais¹

2020

IJACSA

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With the advent and proliferation of the internet, the fourth industrial revolution is in full swing. As a result, different technologies have the potential to impact the course of human development. In other words, worldwide populations are moving towards growing urban centers and as a result, smart cities are emerging as the integration of human activities and technologies. These smart cities are built on top of different technologies such as blockchain and the Internet of Things (IoT). Consequently, the applications of these technologies in current and future smart cities will not only change the nature of human interaction and governance but also how business is conducted. This paper proposes an experimental study (qualitative and quantitative) that will determine the impact of blockchain and IoT technologies on the development of smart cities. It aims to derive insight from questions such as how current business models are preparing themselves for this disruption, the challenges they will face, and the potential contributions the two technologies will have on business development. The study's outcomes will provide the rationale for why businesses should start paying attention to these technologies and start on an early adoption plan that will slowly transform their business models as smart cities mature.

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“…While public distributed ledgers are accessible to anybody, permissioned distributed ledgers require authentication and authorization within a consortium network. An approach to construct modular permissioned architectures for Blockchains are so-called sidechains [7,8]. The architecture consists of a central consortium Blockchain and a set of private subnets.…”

Section: Basicsmentioning

confidence: 99%

Distributed Ledger Technology for the systematic Investigation and Reduction of Information Asymmetry in Collaborative Networks

Schinle

Erler

Stork

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Costs, risks and inefficiencies in CollaborativeNetworks (CNs) resulting from information asymmetries have been discussed in the scientific community for years. In this work, supply chain networks, as common representative of CNs, are used as object of investigation. Therein, problems and requirements of interorganizational information exchange are elaborated as well as the potential role Distributed Ledger Technology (DLT) could play to address them. As major challenge, convincing all relevant network partners to resolve asymmetric information by sharing sensitive data is identified. To face this issue, the value of shared information is prioritized as a motivational aspect. Finally, we propose a search process to systematically assess the benefits of information sharing in collaborative networks. To coordinate and implement this process regarding the derived requirements of CNs we propose system components based on DLT design patterns.

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IoT data privacy via blockchains and IPFS

Cited by 143 publications

References 8 publications

A Decentralized Peer-to-Peer Remote Health Monitoring System

A Decentralized Peer-to-Peer Remote Health Monitoring System

IoT and Blockchain in the Development of Smart Cities

Distributed Ledger Technology for the systematic Investigation and Reduction of Information Asymmetry in Collaborative Networks

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