E-biomedical: a positive prospect to monitor human healthcare system using blockchain technology

Jeet, Rubal; Kang, Sandeep Singh

doi:10.1108/wje-10-2020-0475

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…In the third and final layer of the proposed model, the encrypted and secured data of patient is moved to the cloud layer where it is stored and can be accessed whenever needed. On the basis of these enumerated layers of the suggested IoT architecture, the given goals must be accomplished [28].…”

Section: Proposed Framework Of Iotmentioning

confidence: 99%

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Jeet

Hoque

Dugbakie

2022

Security and Communication Networks

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With the advancements in the new technologies like IoT, the healthcare sector is also growing rapidly. The core concept of introducing IoT in the healthcare centers is to make it remotely accessible, so that communication between doctor and patient can be easy, and diagnosis of any disease can be remotely done through the Internet in case of emergency. The major objective of this study is to develop a security framework for the healthcare industry that can encrypt secret data on cloud servers using block-based data encoding. Since any information that is available on the Internet is vulnerable to various attacks, and the medical records of the patients carry sensitive information that must not be accessible to any unauthorized or unauthentic person, in this context, the concept of Blockchain (BC) technology was introduced in the healthcare systems. In the past few years, a number of BC based healthcare models were proposed in the system; however, these systems are decentralized in nature, which is a feature of Blockchain technology, but in certain applications, especially in healthcare, this feature gave rise to a problem termed as disease overlapping when the count of chains gets increased. To solve this issue, a BC based framework is used in this work that has a feature of creating a separate block in the chain every time whenever any alteration in information about patient’s health, any allergies, new symptoms, medications, etc. is updated. In addition to this, securing the sensitive information of patients is taken into consideration by developing an improved and enhanced multilayer Blockchain based IoT data security approach that not only protects the data, but also builds the trust between patients/user and healthcare service providers. The main focused area of this research article is to propose a security framework for healthcare domain that can encrypt the confidential data over cloud server under block-based data encoding. In the proposed approach, 128-bit AES key is generated in order to support the SHA-256 hashing algorithm. Individual user’s data is subdivided to blocks and encrypted to secure it from unauthorized access. An interface-based system is designed to present the real-world usage of the proposed model in healthcare application. Finally, the effectiveness of the proposed approach is validated in the MATLAB software in terms of MAE, RMSE, MSE, encryption time, and decryption time. The RSA and DSA are the most trending encryption algorithms. These algorithms are crucial components of Blockchain technology, implemented in the proposed work, and later on, their performances are also compared with each other to check their effectiveness. The simulation results demonstrated that the proposed encrypting algorithm surpasses the other encryption approaches such as RSA and DSA in all factors to prove its supremacy. The experimental results show that the encryption and decryption time are lowest in the proposed framework; therefore, its performance is more effective and robust. It is also more effective and resilient.

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Section: Proposed Framework Of Iotmentioning

confidence: 99%

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Jeet

Hoque

Dugbakie

2022

Security and Communication Networks

Self Cite

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“…The patient's encrypted and secured data is sent to the cloud layer in the proposed model's third and final tier, where it is kept and may be retrieved at any time. The specified objectives must be met by implementing the proposed IoT architecture in accordance with the listed layers [32].…”

Section: Decryption Phasementioning

confidence: 99%

Securing the Patient’s Breast Cancer Data using Blockchain-based IBE with Deep Learning Model in IoT

D. Baby Sathiya

2024

jes

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Computational intelligence (CI) and artificial intelligence (AI) have a portion to offer in the way of making healthcare systems smart and long-lasting. These technological advances have the potential to lessen our environmental impact while simultaneously increasing expectations for performance. The use of electronic health monitoring systems in healthcare management has been crucial. E-health has the potential to offer patients useful and efficient tracking tools. However, the existing E-Health system has protection disputes. However, there are safety concerns with the present online healthcare system. Doctors with bad intentions might collude with CSPs to compromise their patients' electronic health records (EHRs) or quickly leak EHR information to other opponents for financial gain. Patients might be manipulated by clinicians who work in collusion with a Patient Healthcare Monitoring Service Provider (PHMSP). EHRs for financial gain or disclose the HER content of EHRs directly to other adversaries. Recently, block-chain has emerged as one of the most potent strategies for maintaining privacy and security. The current security issues in e-health monitoring systems are expected to be replaced by this promising security method. To prevent unauthorised parties from accessing encrypted data, blockchain uses encryption. Using a computational intelligence approach, this study presented a blockchain-based encryption framework based on identity-based encryption (IBE) to deliver secure solutions. Furthermore, the study effort utilises optimised deep learning (ODL) to forecast the patient's condition from breast cancer input data. The suggested method improves performance, with an accuracy of 0.93 during training and 0.91 during validation.

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“…Jeet and Kang (2020) developed a novel approach that shows the effectiveness of Blockchain technology with modification of patients’ data without his/her will, management of patient profile with latest data, and elimination of any type of miscommunication between the specialists.…”

Section: Special Issue (Part 1) On Computer-aided Learning and Analys...mentioning

confidence: 99%

Guest editorial

Dhiman

2022

WJE

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E-biomedical: a positive prospect to monitor human healthcare system using blockchain technology

Cited by 5 publications

References 27 publications

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Securing the Patient’s Breast Cancer Data using Blockchain-based IBE with Deep Learning Model in IoT

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