A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0

被引:20
作者
Natarajan, Rajesh [1 ]
Lokesh, Gururaj Harinahallo [2 ]
Flammini, Francesco [3 ]
Premkumar, Anitha [4 ]
Venkatesan, Vinoth Kumar [5 ]
Gupta, Shashi Kant [6 ]
机构
[1] Univ Technol & Appl Sci Shinas, Informat Technol Dept, Shinas 324, Al Aqr, Oman
[2] Manipal Acad Higher Educ, Manipal Inst Technol Bengaluru, Dept Informat Technol, Manipal 576104, India
[3] Univ Appl Sci & Arts Southern Switzerland, IDSIA USI SUPSI, CH-6928 Manno, Switzerland
[4] Presidency Univ, Dept Comp Sci & Engn, Bangalore 560064, India
[5] Vellore Inst Technol, Sch Informat Technol & Engn, Vellore 632014, India
[6] Integral Univ, CSE Dept, Lucknow 226026, India
关键词
Internet of Medical Things; energy optimization; wireless sensor networks; privacy; security;
D O I
10.3390/infrastructures8020022
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method of connecting medical equipment and the software that operates on it to the computer networks that are used in healthcare 5.0. The rapid development of smart medical devices on IoMT platforms has led to the adoption of major technologies in the modernization of healthcare procedures, the administration of diseases, and the improvement in patient treatment standards. The IoMT offers a variety of cloud-based applications, including data exchange, data screening, patient surveillance, information collection and analysis, and hygienic hospital attention. Wireless sensor networks (WSNs) are responsible for both the gathering and delivery of data. Method: The safety of patients and their right to privacy are the top priorities in the healthcare sector. Anyone may see and modify the patient's health information because the data from these smart gadgets are sent wirelessly through the airways. Hence, we developed a unique elliptic curve cryptography-based energy-efficient routing protocol (ECC-EERP) to provide a high level of security and energy efficient system for healthcare 5.0. Data can be encrypted using the key-based method ECC-EERP. It employs pairs of public and private keys to decrypt and encrypts web traffic and reducse the amount of energy needed by a WSN in aggregate. Result and Discussion: The efficiency of the suggested method was evaluated in comparison with that of a variety of existing methods. The suggested method was evaluated with the use of many parameters such as security, encryption throughput, energy efficiency, network lifetime, communication overload, computation time, and implementation cost. The results showed that the proposed technique provides enhanced security and energy efficiency.
引用
收藏
页数:18
相关论文
共 45 条
  • [1] Blockchain-Based Solutions Supporting Reliable Healthcare for Fog Computing and Internet of Medical Things (IoMT) Integration
    Alam, Shadab
    Shuaib, Mohammed
    Ahmad, Sadaf
    Jayakody, Dushantha Nalin K.
    Muthanna, Ammar
    Bharany, Salil
    Elgendy, Ibrahim A.
    [J]. SUSTAINABILITY, 2022, 14 (22)
  • [2] Secure hyper intelligence in routing protocol with low-power (RPL) Networks in IoT
    Ambika, K.
    Malliga, S.
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2022, 173
  • [3] Anbarasu S, 2022, RANK BASED ENERGY EF
  • [4] The 21st Century Cures Act and Multiuser Electronic Health Record Access: Potential Pitfalls of Information Release
    Arvisais-Anhalt, Simone
    Lau, May
    Lehmann, Christoph U.
    Holmgren, A. Jay
    Medford, Richard J.
    Ramirez, Charina M.
    Chen, Clifford N.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (02)
  • [5] A Randomized Clinical Trial Comparing Two Treatment Strategies, Evaluating the Meaningfulness of HAM-D Rating Scale in Patients With Major Depressive Disorder
    Asghar, Junaid
    Tabasam, Madiha
    Althobaiti, Maha M.
    Adnan Ashour, Amal
    Aleid, Mohammed A.
    Ibrahim Khalaf, Osamah
    Aldhyani, Theyazn H. H.
    [J]. FRONTIERS IN PSYCHIATRY, 2022, 13
  • [6] Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN
    Banumathy, D.
    Khalaf, Osamah Ibrahim
    Tavera Romero, Carlos Andres
    Raja, P. Vishnu
    Sharma, Dilip Kumar
    [J]. COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2023, 44 (01): : 595 - 612
  • [7] CAD of BCD from Thermal Mammogram Images Using Machine Learning
    Banumathy, D.
    Khalaf, Osamah Ibrahim
    Romero, Carlos Andres Tavera
    Indra, J.
    Sharma, Dilip Kumar
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 34 (01) : 667 - 685
  • [8] Zero knowledge proofs based authenticated key agreement protocol for sustainable healthcare
    Gaba, Gurjot Singh
    Hedabou, Mustapha
    Kumar, Pardeep
    Braeken, An
    Liyanage, Madhusanka
    Alazab, Mamoun
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2022, 80
  • [9] Analysis of Fault Classifiers to Detect the Faults and Node Failures in a Wireless Sensor Network
    Gnanavel, S.
    Sreekrishna, M.
    Mani, Vinodhini
    Kumaran, G.
    Amshavalli, R. S.
    Alharbi, Sadeen
    Maashi, Mashael
    Khalaf, Osamah Ibrahim
    Abdulsahib, Ghaida Muttashar
    Alghamdi, Ans D.
    Aldhyani, Theyazn H. H.
    [J]. ELECTRONICS, 2022, 11 (10)
  • [10] Gupta Shashi Kant, 2022, ECS Transactions, V107, P2927, DOI 10.1149/10701.2927ecst