Academic Journal

Privacy-preserving messaging for medical device networks.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Privacy-preserving messaging for medical device networks.
Συγγραφείς: Atmoko, Rachmad Andri, Asriningtias, Salnan Ratih, Setiawan, Akas Bagus, Pradhan, Devasis, Karas, Ismail Rakip
Πηγή: Telkomnika; Aug2026, Vol. 24 Issue 4, p1320-1330, 11p
Θεματικοί όροι: Anonyms & pseudonyms, Data privacy, Data encryption, Cryptography, Internet of medical things, Biotelemetry, Instant messaging
Περίληψη: Internet of medical things (IoMT) deployments rely on lightweight messaging, but the message queuing telemetry transport (MQTT) protocol still exposes sensitive metadata through plaintext topic names and stable client identifiers. In healthcare settings, this visibility can reveal patient identity, location, and monitored condition even when payloads are encrypted. This paper presents a gateway-based privacy architecture that replaces semantic MQTT topics and client identifier (ClientIDs) with rotating pseudonyms managed by a topic and ID privacy manager (TPM). The design uses hash-based message authentication code using secure hash algorithm 256-bit (HMAC-SHA256) for pseudonym generation, advanced encryption standard-galois/counter mode (AES-GCM) for payload protection, and a short overlap phase that preserves message delivery during rotation without modifying the broker. Experiments from 5 to 10,000 patients show a consistent 5.0x increase in topic diversity, 2.50 µs permessage cryptographic overhead, 0.063 ms maximum latency overhead, and zero packet loss. These results indicate that practical IoMT deployments can improve metadata privacy while still meeting real-time clinical communication requirements. [ABSTRACT FROM AUTHOR]
Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Privacy-preserving messaging for medical device networks.
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  Data: Telkomnika; Aug2026, Vol. 24 Issue 4, p1320-1330, 11p
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  Data: <searchLink fieldCode="DE" term="%22Anonyms+%26+pseudonyms%22">Anonyms & pseudonyms</searchLink><br /><searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+medical+things%22">Internet of medical things</searchLink><br /><searchLink fieldCode="DE" term="%22Biotelemetry%22">Biotelemetry</searchLink><br /><searchLink fieldCode="DE" term="%22Instant+messaging%22">Instant messaging</searchLink>
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  Data: Internet of medical things (IoMT) deployments rely on lightweight messaging, but the message queuing telemetry transport (MQTT) protocol still exposes sensitive metadata through plaintext topic names and stable client identifiers. In healthcare settings, this visibility can reveal patient identity, location, and monitored condition even when payloads are encrypted. This paper presents a gateway-based privacy architecture that replaces semantic MQTT topics and client identifier (ClientIDs) with rotating pseudonyms managed by a topic and ID privacy manager (TPM). The design uses hash-based message authentication code using secure hash algorithm 256-bit (HMAC-SHA256) for pseudonym generation, advanced encryption standard-galois/counter mode (AES-GCM) for payload protection, and a short overlap phase that preserves message delivery during rotation without modifying the broker. Experiments from 5 to 10,000 patients show a consistent 5.0x increase in topic diversity, 2.50 µs permessage cryptographic overhead, 0.063 ms maximum latency overhead, and zero packet loss. These results indicate that practical IoMT deployments can improve metadata privacy while still meeting real-time clinical communication requirements. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.12928/TELKOMNIKA.v24i4.27794
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1320
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      – SubjectFull: Anonyms & pseudonyms
        Type: general
      – SubjectFull: Data privacy
        Type: general
      – SubjectFull: Data encryption
        Type: general
      – SubjectFull: Cryptography
        Type: general
      – SubjectFull: Internet of medical things
        Type: general
      – SubjectFull: Biotelemetry
        Type: general
      – SubjectFull: Instant messaging
        Type: general
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      – TitleFull: Privacy-preserving messaging for medical device networks.
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            NameFull: Atmoko, Rachmad Andri
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            NameFull: Asriningtias, Salnan Ratih
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            NameFull: Setiawan, Akas Bagus
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            NameFull: Pradhan, Devasis
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            NameFull: Karas, Ismail Rakip
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            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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