Securing Medical Big data through Blockchain technology

Devi, K.Renuka; Suganyadevi, S.; Karthik, S.; Ilayaraja, N.

doi:10.1109/icaccs54159.2022.9785125

Cited by 31 publications

(4 citation statements)

References 14 publications

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“…Devi et al [22] proposed a technique for applying blockchain to the big data generated in the healthcare industry. The data can be classified into structured data, such as patient information, diagnosis results, and prescription details, which are stored on the blockchain, and unstructured data, such as medical images, and voice files, which are stored on IPFS.…”

Section: Related Workmentioning

confidence: 99%

Cost-Effectively Searchable Blackbox Data With Unlinkability Based on Public Blockchain

Choi,

Jeong

2023

IEEE Access

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A blackbox data can be used to identify the cause of an accident. And we may need to find blackbox videos recorded by the third party to accurately analyze the cause of the accident. One of the basic requirements of blackbox data is integrity, and this integrity can be provided by uploading the data to blockchains. However, the existing blackbox data storage systems have two big problems, cost and privacy. The transaction fees are the costs necessary to upload data to the blockchains. The transaction fees of the major public blockchain are getting higher. Therefore, if a user uses Bitcoin or Ethereum to upload its blackbox video, the costs could be very expensive. On the other hand, the private information such as driving route could be revealed from the uploaded information to the blockchain. We suggest a cost-effective searchable blackbox data storage system with strong anonymity, i.e. unlinkability, using blockchains. In our scheme, the cost of registering a blackbox video is costtr n , where cost tr is the cost necessary to upload a transaction to a blockchain and n is the number of uploading users at the same time. Therefore, our scheme is practical with public blockchains such as Bitcoin or Ethereum.

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Section: Related Workmentioning

confidence: 99%

Cost-Effectively Searchable Blackbox Data With Unlinkability Based on Public Blockchain

Choi,

Jeong

2023

IEEE Access

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“…As the volume and complexity of data continue to grow, DM has become increasingly important. The ability to extract useful insights from data has become a critical component of business success in the 21st century [13]. With advances in technology, DM has evolved, and new algorithms and techniques are continually being developed to improve its effectiveness.…”

Section: Data Mining Technology Modelmentioning

confidence: 99%

Application of Big Data Mining Technology in Blockchain Computing

Dong

2023

IJIIS Int. J. Informatics Inf. Syst.

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Big data in the modern science and technology and social activities play an important role, on the one hand, a large number of new applications and technology into our lives, in the use of these new technologies to produce a large amount of data, on the other hand, big data as one of the most important digital assets, many of the development of new technologies also rely on large data as support. This paper focuses on the research and application of big data mining technology in blockchain computing. Firstly, this paper extracts the corresponding transaction data according to the Bitcoin address and constructs the transaction features to get the Bitcoin data set. Then, the data features are processed. Then, three algorithm models, SVM, Adaboost and Random Forest, are selected to model and analyze the preprocessed data combined with different sampling strategies. According to the comprehensive performance of the model and its shortcomings, the model is selected and improved.

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“…Healthcare organizations must invest in up-to-date digital security measures to protect data and systems from malicious attackers, and must have comprehensive incident response processes in place in the event of a security incident [1]. Security measures should include network segmentation, encryption, and authentication, as well as the use of cutting-edge data analytics and monitoring tools to detect suspicious behavior [2].…”

Section: Introductionmentioning

confidence: 99%