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Blockchain-based Intelligent Monitored Security System for Detection of Replication Attack in the Wireless Healthcare Network

Author

Listed:
  • Jatinder Warraich
  • Chetanpal Singh
  • Prem Thapa

Abstract

Wireless sensor networks have revolutionized the way healthcare works replacing the traditional methods with sensor-enabled IoT devices that help in monitoring the data. The data is collected by these sensors that are there on the body of the user, the data is transmitted over the network to the healthcare monitoring systems. The transmission follows the route of the wireless channel that is not secure as it can be accessed by legitimate as well as illegitimate users. These pose security threats; one such attack is a replication attack. This makes the replicas of the original node, replaces the data with the malicious content for attacking the system, and deploys the node back to the network making it difficult to detect. The aim of the work is to review the Blockchain-based intelligent monitored security system for the detection of replication attacks in the wireless healthcare network. The method used for review is the secondary research method. The main focus of the work is kept on the literature review for obtaining insights and knowledge. The results show that blockchain provides the required security to the data carried by the sensor-enabled IoT. The result contributed to the understanding of the different blockchain techniques in securing data. The system component is farmed in the work and verified in the results.

Suggested Citation

  • Jatinder Warraich & Chetanpal Singh & Prem Thapa, 2021. "Blockchain-based Intelligent Monitored Security System for Detection of Replication Attack in the Wireless Healthcare Network," European Journal of Engineering and Technology Research, European Open Science, vol. 6(6), pages 160-170, September.
  • Handle: RePEc:epw:ejeng0:v:6:y:2021:i:6:id:62599
    DOI: 10.24018/ejeng.2021.6.6.2599
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    References listed on IDEAS

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    1. Balasubramanian, Sreejith & Shukla, Vinaya & Sethi, Jaspreet Singh & Islam, Nazrul & Saloum, Roy, 2021. "A readiness assessment framework for Blockchain adoption: A healthcare case study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Ezekiel N. N. Nortey & Reuben Pometsey & Louis Asiedu & Samuel Iddi & Felix O. Mettle & Sergejs Solovjovs, 2021. "Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2021, pages 1-11, February.
    3. Sharma, Luv & Olson, John & Guha, Abhijit & McDougal, Lori, 2021. "How blockchain will transform the healthcare ecosystem," Business Horizons, Elsevier, vol. 64(5), pages 673-682.
    4. Ezekiel N. N. Nortey & Reuben Pometsey & Louis Asiedu & Samuel Iddi & Felix O. Mettle, 2021. "Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression," International Journal of Mathematics and Mathematical Sciences, John Wiley & Sons, vol. 2021(1).
    5. Rajendra Kumar Dwivedi & Rakesh Kumar & Rajkumar Buyya, 2021. "Gaussian Distribution-Based Machine Learning Scheme for Anomaly Detection in Healthcare Sensor Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global Scientific Publishing, vol. 11(1), pages 52-72, January.
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