Enhancing Data Integrity with CSDT: A Solution to Predict Data Disturbance in IoT Systems

Meriem Smati, Jannik Laval, Vincent Cheutet and Christophe Danjou

Paper (2024)

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Additional Information:	Laboratoire Poly-Industrie 4.0
Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/66588/
Conference Title:	21st IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2024)
Conference Location:	Bangkok, Thailand
Conference Date(s):	2024-07-07 - 2024-07-10
Journal Title:	IFIP advances in information and communication technology
Publisher:	Springer Science+Business Media
DOI:	10.1007/978-3-031-93319-6_8
Official URL:	https://doi.org/10.1007/978-3-031-93319-6_8
Date Deposited:	22 Jul 2025 10:04
Last Modified:	22 Jul 2025 10:04

Cite in APA 7:	Smati, M., Laval, J., Cheutet, V., & Danjou, C. (2024, July). Enhancing Data Integrity with CSDT: A Solution to Predict Data Disturbance in IoT Systems [Paper]. 21st IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2024), Bangkok, Thailand. Published in IFIP advances in information and communication technology. https://doi.org/10.1007/978-3-031-93319-6_8
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