ItemScopus

Enhancing IoT Security Through Multilayer Unsupervised Learning and Hybrid Models

Title
Enhancing IoT Security Through Multilayer Unsupervised Learning and Hybrid Models
Description
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Creator
Vetal A.; Lekha J.; Sweety
Source
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204471132&doi=10.1109%2fTQCEBT59414.2024.10545101&partnerID=40&md5=cec4fbc7821ff613e447285d806f7027" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204471132&doi=10.1109%2fTQCEBT59414.2024.10545101&partnerID=40&md5=cec4fbc7821ff613e447285d806f7027</a>
Date
2024-01-01

Collection

Conference Papers

Citation

Vetal A.; Lekha J.; Sweety, “Enhancing IoT Security Through Multilayer Unsupervised Learning and Hybrid Models,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 11, 2025, https://archives.christuniversity.in/items/show/9536.

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