Machine Learning in Healthcare

Mitra, Debasree; Paul, Apurba; Chatterjee, Sumanta

doi:10.4018/978-1-7998-3092-4.ch002

“…The authors discussed the ELIB model that is specifically made to fulfill the requirements of the IoT constrained. The blockchain ensures the complete security of the database and provides security to the data [37], [34].…”

Section: ) Secured Wireless Healthcare Network Using Blockchain Techn...mentioning

confidence: 99%

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

Warraich

¹

,

Singh

²

,

Thapa

³

2021

EJENG

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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.

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

Warraich

¹

,

Singh

²

,

Thapa

³

2021

EJ-ENG

1

0

View full text Add to dashboard Cite

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.

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Machine Learning in Healthcare

Kasbe

2023

Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning

0

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Applications of machine learning techniques (ML) are having a significant impact on a number of expanding industries, including the healthcare sector. ML is a part of artificial intelligence (AI) technology with the primary objective to increase the efficiency and precision of medical professionals' work. AI presents a significant opportunity in the healthcare sector as most countries are now struggling with overburdened healthcare systems and a dearth of competent medical personnel. Healthcare data is expanding daily and can be utilised to choose the best study sample, gather additional data points, and assess participant data from ongoing studies. ML-based methods/algorithms are employed in the early detection and diagnosis of numerous diseases. For a very long time, early disease prediction and detection have been crucial areas of research for the diagnosis of all diseases. Machine‐learning (ML) algorithms have proven to be quite efficient in disease detection and decision making in healthcare.

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Machine Learning in Healthcare

Cited by 3 publications

References 1 publication

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

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

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

Machine Learning in Healthcare

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