An Ensemble-Based Machine Learning-Envisioned Intrusion Detection in Industry 5.0-Driven Healthcare Applications

Mohammad Wazid; Jaskaran Singh; Ashok Kumar Das; Joel J. P. C Rodrigues

doi:10.1109/tce.2023.3318850

journal article Feb 01, 2024

An Ensemble-Based Machine Learning-Envisioned Intrusion Detection in Industry 5.0-Driven Healthcare Applications

Mohammad Wazid

Jaskaran Singh

Ashok Kumar Das

Joel J. P. C Rodrigues

IEEE Transactions on Consumer Electronics Vol. 70 No. 1 pp. 1903-1912 · Institute of Electrical and Electronics Engineers (IEEE)

View at Publisher Save 10.1109/tce.2023.3318850

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References

39

[1]

10.1186/s13677-022-00314-5

[2]

10.1109/iotm.001.2100045

[3]

10.1109/tii.2022.3215231

[4]

10.1109/tce.2021.3058501

[5]

10.1109/tce.2021.3057806

[6]

10.1109/tii.2021.3129631

[7]

10.1007/s12652-020-02728-y

[8]

10.1109/access.2020.3000421

[9]

10.1016/j.eswa.2009.05.029

[10]

10.1002/widm.1249

[11]

10.1007/s11704-019-8208-z

[12]

10.1109/access.2019.2923640

[13]

10.1109/access.2020.3026260

[14]

10.1109/tii.2022.3192035

[15]

10.1109/tii.2022.3161631

[16]

10.1109/tnnls.2021.3071122

[17]

10.1109/jiot.2022.3151982

[18]

10.3390/app9204396

[19]

10.1109/access.2020.3048198

[20]

10.1109/access.2019.2930717

[21]

10.1109/ccoms.2018.8463300

[22]

10.1109/tii.2020.3023430

[23]

10.1109/spw.2017.8

[24]

10.1145/3308897.3308961

[25]

10.1186/s42400-021-00103-8

[26]

10.1109/coins51742.2021.9524269

[27]

10.1016/j.comcom.2020.05.048

[28]

10.47750/pnr.2022.13.s03.057

[29]

10.1155/2022/8481452

[30]

10.1109/access.2023.3251354

[31]

10.1109/icces54183.2022.9835788

[32]

10.1109/tit.1983.1056650

[33]

10.1007/3-540-46035-7_22

[34]

10.1109/tc.2002.1004593

[35]

(2023)

[36]

10.1109/cisda.2009.5356528

[37]

10.1007/s11276-018-1759-3

[38]

10.1109/access.2020.3019367

[39]

Cremers (2022)

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References

Details

Published: Feb 01, 2024
Vol/Issue: 70(1)
Pages: 1903-1912
License: View

Authors

M

Mohammad Wazid

Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India

J

Jaskaran Singh

Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India

A

Ashok Kumar Das

Center for Security, Theory and Algorithmic Research, International Institute of Information Technology Hyderabad, Hyderabad, India

J

Joel J. P. C Rodrigues

COPELABS, Lusófona University, Lisbon, Portugal

Funding

Brazilian National Council for Scientific and Technological Development Award: 313036/2020-9

Cite This Article

Mohammad Wazid, Jaskaran Singh, Ashok Kumar Das, et al. (2024). An Ensemble-Based Machine Learning-Envisioned Intrusion Detection in Industry 5.0-Driven Healthcare Applications. IEEE Transactions on Consumer Electronics, 70(1), 1903-1912. https://doi.org/10.1109/tce.2023.3318850

An Ensemble-Based Machine Learning-Envisioned Intrusion Detection in Industry 5.0-Driven Healthcare Applications

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