Anomaly-Based Intrusion Detection for IoT Microcontrollers Using Power Side-Channel Fingerprinting

Samar Mohamed Hussein Shukry, Frank Kargl, Tallal El-Shabrawy, Amr Talaat Abdel-Hamid

Open source

DOI: 10.3390/s26185769
Published: 2026-09-11
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26185769,
  title = {Anomaly-Based Intrusion Detection for IoT Microcontrollers Using Power Side-Channel Fingerprinting},
  author = {Samar Mohamed Hussein Shukry and Frank Kargl and Tallal El-Shabrawy and Amr Talaat Abdel-Hamid},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26185769},
  url = {https://doi.org/10.3390/s26185769}
}

RIS

TY  - JOUR
TI  - Anomaly-Based Intrusion Detection for IoT Microcontrollers Using Power Side-Channel Fingerprinting
AU  - Samar Mohamed Hussein Shukry
AU  - Frank Kargl
AU  - Tallal El-Shabrawy
AU  - Amr Talaat Abdel-Hamid
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26185769
UR  - https://doi.org/10.3390/s26185769
ER  -

APA

Shukry, S. M. H., Kargl, F., El-Shabrawy, T., & Abdel-Hamid, A. T. (2026). Anomaly-Based Intrusion Detection for IoT Microcontrollers Using Power Side-Channel Fingerprinting. Sensors. https://doi.org/10.3390/s26185769

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crossref · retrieved 2026-11-10T11:16:52.538Z