Challenges and Opportunities of Internet of Things for Health Care

Makkar, Sandhya; Singh, Ashirwad Kumar; Mohapatra, SwetaSilpa

doi:10.1007/978-3-030-23983-1_12

Cited by 10 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

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Order By: Relevance

“…For a ij =1, it means both are having same importance. In this comparison is done in the form of matrix as shown in equation (1).…”

Section: Step-3 Building a Pairwise Comparison Matrixmentioning

confidence: 99%

“…Internet of health thing (IoHT) also knowna as Internet of Medical things (IoMT), is the network of healthcare devices connected to the cloud for sending and receiving data related to the chronical diseases of patients [1]. IoMT allows to reduce the unnecessary visits to hospital and alleviates burden on medical care system by providing connectivity over secure network between medical experts and patients; which, ultimately leads to saving of a lot of time and money [2,3].…”

Section: Introductionmentioning

confidence: 99%

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ISA Evaluation Framework for Security of Internet of Health Things System Using AHP-TOPSIS Methods

et al. 2020

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Security has become a vital factor for any Internet of things network but it is of paramount importance for Internet of Health Things (IoHT). IoHT also known as Internet of Medical Things (IoMT) is integration of IoT and healthcare environment, where fragile data related to the patients is transmitted from IoT devices to server. During this transmission, if, any eavesdropping or intrusion occurs then it will not only lead to the serious mutilation of entire network but this data will be handled maliciously for wrong doings as well. Therefore, a proper security is indispensable for IoHT based equipments due to exposure to different attacks. Security of IoHT has been the burning issue in last couple of years. In this regard different security models, surveys, frameworks have been presented. In this paper, a proposed Identified Security Attributes (ISA) framework is presented to evaluate the security features of IoHT based device in healthcare environment. The proposed framework uses hybrid MCDM methods such as Analytical Hierarchical Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This framework works in two phase: in first phase the weights of attributes are derived by using AHP method and in second phase security assessment of alternatives is performed based upon security criteria by using TOPSIS method. The outcomes of proposed security assessment framework demonstrate that the reliable and secure alternative among alternatives is selected in IoMT system. This approach can be used as a guideline for future use in IoMT systems or any other IoT based domain. To the best of our knowledge, it is novel approach to address the security assessment of IoT and these MCDM methods have never been used before for assessment and decision making in IoHT system for security.

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“…For a ij =1, it means both are having same importance. In this comparison is done in the form of matrix as shown in equation (1).…”

Section: Step-3 Building a Pairwise Comparison Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ISA Evaluation Framework for Security of Internet of Health Things System Using AHP-TOPSIS Methods

et al. 2020

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“…IoMT has a major role in enhancing health and giving medical facilities to people worldwide. 1 , 2 IoMT has a huge influence on daily life due to its exponential growth of IoMT. The patients' health data are observed remotely and transferred to a third party for future use.…”

Section: Introductionmentioning

confidence: 99%

“…The Internet of the Medical Things (IoMT) incorporates medical equipment and associated applications via network connections. IoMT has a major role in enhancing health and giving medical facilities to people worldwide 1,2 . IoMT has a huge influence on daily life due to its exponential growth of IoMT.…”

Section: Introductionmentioning

confidence: 99%

An efficient lightweight encryption model with re‐encryption scheme to create robust blockchain architecture for COVID‐19 data

Gopalakrishna

Basarkod

2022

Trans Emerging Tel Tech

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Handling electronic health records from the Internet of Medical Things is one of the most challenging research areas as it consists of sensitive information, which targets attackers. Also, dealing with modern healthcare systems is highly complex and expensive, requiring much secured storage space. However, blockchain technology can mitigate these problems through improved health record management. The proposed work develops a scalable, lightweight framework based on blockchain technology to improve COVID‐19 data security, scalability and patient privacy. Initially, the COVID‐19 related data records are hashed using the enhanced Merkle tree data structure. The hashed values are encrypted by lattice based cryptography with a Homomorphic proxy re‐encryption scheme in which the input data are secured. After completing the encryption process, the blockchain uses inter planetary file system to store secured information. Finally, the Proof of Work concept is utilized to validate the security of the input COVID based data records. The proposed work's experimental setup is performed using the Python tool. The performance metrics like encryption time, re‐encryption time, decryption time, overall processing time, and latency prove the efficacy of the proposed schemes.

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“…It is also known as Internet of Medical things (IoMT). IoHT or IoMT is the connectivity of healthcare devices connected to the cloud for sending and receiving data related to the chronical diseases of patients [1]. The security of IoHT devices has always remained a challenging task due to vulnerabilities addressed by these devices in the operating environment but still IoT devices are rapidly increasing due to their multi applications features.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid MCDM Approach of Selecting Lightweight Cryptographic Cipher Based on ISO and NIST Lightweight Cryptography Security Requirements for Internet of Health Things

Ali

et al. 2020

IEEE Access

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Challenges and Opportunities of Internet of Things for Health Care

Cited by 10 publications

References 2 publications

ISA Evaluation Framework for Security of Internet of Health Things System Using AHP-TOPSIS Methods

ISA Evaluation Framework for Security of Internet of Health Things System Using AHP-TOPSIS Methods

An efficient lightweight encryption model with re‐encryption scheme to create robust blockchain architecture for COVID‐19 data

A Hybrid MCDM Approach of Selecting Lightweight Cryptographic Cipher Based on ISO and NIST Lightweight Cryptography Security Requirements for Internet of Health Things

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