Use of Blockchain and Internet of Things for Securing Data in Healthcare Systems

Banotra, Atul; Sharma, Jyoti; Gupta, Swastik; Gupta, Sachin Kumar; Rashid, Mamoon

doi:10.1007/978-981-15-8711-5_13

Cited by 28 publications

(11 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As we all understand, cloud technology does have its own set of security issues that come up at times as a result of inadequate security technology and a lack of safety adherence [4][5][6][7]. Some of them are discussed here.…”

Section: Security Issues In Healthcare Systemsmentioning

confidence: 99%

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Jeet

Hoque

Dugbakie

2022

Security and Communication Networks

View full text Add to dashboard Cite

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.

show abstract

Section: Security Issues In Healthcare Systemsmentioning

confidence: 99%

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Jeet

Hoque

Dugbakie

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Blockchain can be used to store and analyze EHRs to provide flexible and secure services [106], [107]. In this system, all medical devices are preserved and potential quacks can be identified [108], [109]. The Estonian government adopted a blockchain-based startup called Keyless Signature Infrastructure (KSI) that allows access to almost one million public health records without the need for a third party [110].…”

Section: ) Electronic Health Recordsmentioning

confidence: 99%

A Systematic Review of Blockchain Applications

et al. 2022

View full text Add to dashboard Cite

For this study, the researchers conducted a systematic literature review to answer complex questions about the field of blockchain technology. We used an unbiased systematic review process to find works on blockchain-based applications and developed a Python code that searched various online databases. This paper provides an overview of the characteristics, mode of operation, and applications of blockchains in various domains such as transportation, commerce and industry, privacy and security, the financial sector, government, education, healthcare, and the Internet of Things (IoT). The aim was to identify the key research themes addressed in existing articles within each application domain and suggest future research directions for these domains. We analyzed a set of 750 articles published between 2015 and 2021 that dealt with blockchain applications. We found that financial management and security issues have been the main research focus since 2015. However, the use of blockchain in education has become a central research theme in 2021. Healthcare, IoT, and government applications have also grown in popularity. We furthermore analyzed some of the implementations of privacy mechanisms, as well as the challenges and future directions that need to be addressed for effective blockchain deployment. This study contributes to existing research by providing a comprehensive overview of blockchain application themes and their emerging areas for stakeholders in diverse sectors.

show abstract

“…Banotra et al 26 presented a model for the health care sector using blockchain and IoT technologies. IoT devices capture data in real time, which is subsequently recorded on the blockchain.…”

Section: Literature Surveymentioning

confidence: 99%

“…In Reference 24 the user communication is performed through third‐party which when compromised provokes occurrence of attack. The IoT devices consumes higher energy 25 and the latency increases with the number of blocks 26 . Hence a novel solution has been proposed to prevent the disease at an early stage by efficient and secure manner with lesser latency also sends the alert messages to take the precautionary actions.…”

Section: Literature Surveymentioning

confidence: 99%

Health monitoring jeopardy prophylaxis model based on machine learning in fog computing

Suggala

Krishna

Swain

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Cloud‐based fog computing was developed in recent years to make it easier for patients to monitor distant health and discover mosquito‐borne syndromes at an initial period, allowing to track the mosquito‐borne illnesses. Many obstacles have been confronted by the technology, including high latency, mobility, overhead connectivity, and location consciousness. Due to the security issue and wrong prediction of the diseases, users are affected by getting wrong alert messages from fog which increase the disease spreading. Hence a novel Prevention Technique based on Fog Computing has been introduced to prevent the epidemic syndrome at an initial period and safeguard the people around the world. Initially, each user register their personal information in Pristine Database through IoT device. These information are encrypted with 16 round of key‐dependent operation via new Blowfish Encryption Algorithm. Subsequently, the mosquito spawned disease is diagnosed by measuring the resemblance factor between the user and disease through the Hybrid Endemic Halsen Classifier and the Resemblance Coefficient are used to diagnose and categorize users as infected or unaffected. The mosquito‐borne disease is detected using this method by assessing the similarity factor between the user and the disease with less computing time. As a result, if a new symptom is found rather than one from the given medical dataset, the information will be saved in the Pristine Database, and the classification process will be faster with less computing time in the future if the same symptom is identified. Finally, the novel Temporal Social Network Analysis was developed to assess the likelihood of a disease breakout also analyze the infected users and send the awareness message to take the precautionary measures in the cloud processing layer. Thus, the proposed work effectively predicts and prevents the spreading of epidemic outbreaks with accuracy of 97% which is 7.2% higher than the existing approaches, and reduced latency of 0.18 second.

show abstract

Use of Blockchain and Internet of Things for Securing Data in Healthcare Systems

Cited by 28 publications

References 27 publications

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

A Systematic Review of Blockchain Applications

Health monitoring jeopardy prophylaxis model based on machine learning in fog computing

Contact Info

Product

Resources

About