Literature DB >> 34958234

Internet of Medical Things-Based Secure and Energy-Efficient Framework for Health Care.

Arun Rana1, Chinmay Chakraborty2, Sharad Sharma1, Sachin Dhawan3, Subhendu Kumar Pani4, Imran Ashraf5.   

Abstract

The Internet of Medical Things (IoMT) is a collection of medical equipment and software that can help patients get better care. The purpose of this study is to improve the security of data collected through remote health monitoring of patients utilizing Constrained Application Protocol (CoAP). Asymmetric cryptography techniques may be used to assure the security of such sensor networks. For communication between different IoMT devices and a remote server, the safe CoAP is compatible with the Datagram Transport Layer Security (DTLS) protocol for creating a secure session using existing algorithms such as Lightweight Establishment of Secure Session. The DTLS layer of CoAP, in contrast, has shortcomings in key control, session establishment, and multicast message exchange. As a consequence, for IoMT communication, the creation of an efficient protocol for safe CoAP session establishment is needed. Thus, to solve the existing problems related to key management and multicast security in CoAP, we have proposed an efficient and secure communication technique to establish a secure session key between IoMT devices and distant servers using lightweight Energy-Efficient and Secure CoAP Elliptic Curve Cryptography (E2SCEC2). The advantage of using E2SCEC2 over other identification methods such as Rivest-Shamir-Adleman (RSA) is its compact key size, which allows it to use a smaller key size. This article also compares these algorithms on parameters such as time spent generating keys, signature generation, and verification of E2SCEC2 and RSA algorithms, as well as energy consumption and radio duty cycle, to see if they are compatible in constrained environments.

Entities:  

Keywords:  CoAP; DTLS; IoMT; IoT; RSA

Mesh:

Year:  2021        PMID: 34958234     DOI: 10.1089/big.2021.0202

Source DB:  PubMed          Journal:  Big Data        ISSN: 2167-6461            Impact factor:   2.128


  3 in total

1.  Deep learning-based microarray cancer classification and ensemble gene selection approach.

Authors:  Khosro Rezaee; Gwanggil Jeon; Mohammad R Khosravi; Hani H Attar; Alireza Sabzevari
Journal:  IET Syst Biol       Date:  2022-07-04       Impact factor: 1.468

2.  Multi-Scale Mixed Attention Network for CT and MRI Image Fusion.

Authors:  Yang Liu; Binyu Yan; Rongzhu Zhang; Kai Liu; Gwanggil Jeon; Xiaoming Yang
Journal:  Entropy (Basel)       Date:  2022-06-19       Impact factor: 2.738

3.  A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications.

Authors:  Duc Tri Phan; Cong Hoan Nguyen; Thuy Dung Pham Nguyen; Le Hai Tran; Sumin Park; Jaeyeop Choi; Byeong-Il Lee; Junghwan Oh
Journal:  Biosensors (Basel)       Date:  2022-02-22
  3 in total

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