LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems.

Bamashmoos F, Khairullah E

DOI: 10.3390/s26206618
Published: 2026 Oct 19
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26206618,
  title = {LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems.},
  author = {Bamashmoos F and Khairullah E},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26206618},
  url = {https://doi.org/10.3390/s26206618}
}

RIS

TY  - JOUR
TI  - LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems.
AU  - Bamashmoos F
AU  - Khairullah E
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26206618
UR  - https://doi.org/10.3390/s26206618
ER  -

APA

F, B., & E, K. (2026). LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26206618

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pubmed · retrieved 2026-11-10T08:02:13.541Z