Distributed Off-Chain Storage of Patient Diagnostic Reports in Healthcare System Using IPFS and Blockchain

Kumar, Randhir; Marchang, Ningrinla; Tripathi, Rakesh

doi:10.1109/comsnets48256.2020.9027313

Cited by 115 publications

(52 citation statements)

References 24 publications

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“…Thus, it provides a distributed and decentralized way for processing the data. 69 Next, incoming network traffic follows same data preprocessing steps as used in Traffic processing engine for preprocessing the network traffic streams before testing it by using trained predictive model. Finally, preprocessed data is send to predictive model for final identification of the network traffic streams.…”

Section: Working Architecture Of Distributed Ids Using Ai-enabled Fog Computing In Blockchain-iot Systemsmentioning

confidence: 99%

A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing

Kumar

Gupta

et al. 2020

Trans Emerging Tel Tech

Self Cite

115

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With the advancement of blockchain technology, and the proliferation of Internet of things (IoT)-driven devices, the blockchain-IoT applications is changing the perception and working infrastructure of smart networks. Blockchain supports decentralized architecture and provides secure management, authentication, and access to IoT systems by deploying smart contracts provided by Ethereum. The growing demand and expansion of blockchain-IoT systems is generating large volume of sensitive data. Moreover, distributed denial-of-service (DDoS) attacks are the most challenging threats to smart contracts in blockchain-IoT systems. The 2016 decentralized autonomous organization and 2017 parity wallet attacks exposed the critical fault-lines among Ethereum smart contracts. Currently, there is no security mechanism available for smart contracts after its deployment in blockchain-IoT systems. In order to address these challenges, first we use two artificial intelligence techniques, random forest (RF) and XGBoost that gives full autonomy in decision making capabilities in the proposed security framework. Second, for data load balancing and distributed file storage of IoT data, interplanetary file system is suggested.Finally, we are the first to propose a distributed framework based on fog computing to detect DDoS attacks in smart contracts. The performance of the detection system is evaluated using actual IoT dataset, namely, BoT-IoT. The proposed system is evaluated in terms of accuracy (AC), detection rate (DR), and false alarm rate (FAR). The results confirms the superiority of the proposed framework over some of the recent state-of-art techniques in detecting rare attacks. The proposed framework has achieved DR up to 99.99% using RF by using 10 features of BoT-IoT dataset. INTRODUCTIONInternet of things (IoT) and blockchain are the two emerging technologies, that has revolutionized the world and made human life more meaningful and productive. IoT is a network of smart devices and sensors that exchange information over the Internet. 1 The applications of IoT are involved in various domain such as smart city, smart home, supply chain system, intelligent transportation system, earthquake detection, agriculture, hospital, a smart grid system, and so on. 2

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Section: Working Architecture Of Distributed Ids Using Ai-enabled Fog Computing In Blockchain-iot Systemsmentioning

confidence: 99%

A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing

Kumar

Gupta

et al. 2020

Trans Emerging Tel Tech

Self Cite

115

View full text Add to dashboard Cite

show abstract

“…With the recent developments in the field of big data, many studies have investigated the storage and management of large amounts of data, such as videos and images, in blockchains in various fields, such as medicine, forensics, and education [ 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. A permissioned blockchain framework for forensic applications of connected vehicles was proposed in [ 20 ].…”

Section: Related Workmentioning

confidence: 99%

Two-Level Blockchain System for Digital Crime Evidence Management

Kim

Ihm

Son

2021

Sensors

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Digital evidence, such as evidence from CCTV and event data recorders, is highly valuable in criminal investigations, and is used as definitive evidence in trials. However, there are risks when digital evidence obtained during the investigation of a case is managed through a physical hard disk drive until it is submitted to the court. Previous studies have focused on the integrated management of digital evidence in a centralized system, but if a centralized system server is attacked, major operations and investigation information may be leaked. Therefore, there is a need to reliably manage digital evidence and investigation information using blockchain technology in a distributed system environment. However, when large amounts of data—such as evidence videos—are stored in a blockchain, the data that must be processed only within one block before being created increase, causing performance degradation. Therefore, we propose a two-level blockchain system that separates digital evidence into hot and cold blockchains. In the criminal investigation process, information that frequently changes is stored in the hot blockchain, and unchanging data such as videos are stored in the cold blockchain. To evaluate the system, we measured the storage and inquiry processing performance of digital crime evidence videos according to the different capacities in the two-level blockchain system.

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“…In most of proposed system a centralized storage like cloud, SQLite and central server is used to store patients data as off-chain storage which again has a chance of single point failure .To avoid this a concept of IPFS is used in many papers like [13] [15]. IPFS is inter planetary file system.…”

Section: Blockchain Platform and Consensus Mechanism Usedmentioning

confidence: 99%

“…IPFS generates a unique hash for every file and uses content based addressing instead of location based addressing for file retrieval .It has many features such as high throughput , Security due to mapping of transaction with hash and concurrent access to transaction by peers in network. [15]…”

Section: Blockchain Platform and Consensus Mechanism Usedmentioning

confidence: 99%

Electronic Health Record Using Blockchain and Off Chain Storage: A Systematic Review

Joshi¹

2021

ITII

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The Blockchain was introduced by Bitcoin [1] for maintaining financial transaction; many researches are going on, to extend the use of blockchain technology in non-financial application. Healthcare domain is a promising industry in which blockchain can have important influence. This paper focus on a systematic review about existing and ongoing research in the field of storing electronic health record (EHR) using blockchain technology. This paper also presents use of blockchain framework in healthcare domain, its challenges and further research.

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Distributed Off-Chain Storage of Patient Diagnostic Reports in Healthcare System Using IPFS and Blockchain

Cited by 115 publications

References 24 publications

A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing

A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing

Two-Level Blockchain System for Digital Crime Evidence Management

Electronic Health Record Using Blockchain and Off Chain Storage: A Systematic Review

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