A novel deep learning-based approach for detecting attacks in social IoT-Reference-Cited by-同舟云学术

A novel deep learning-based approach for detecting attacks in social IoT

Published:2023-05-10 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Mohan Das R.,Arun Kumar U.,Gopinath S.,Gomathy V.,Natraj N. A.,Anushkannan N. K.,Balashanmugham Adhavan

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08389-1.pdf

Reference27 articles.

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2. Gobhinath S, et al. (2022) Detection And Analysis of Earlier Cognitive Disorder Using Ai Based Transcranial Magnetic Stimulator. 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS). Vol. 1. IEEE

3. Alqahtani AS, Mubarakali A, Parthasarathy P et al (2022) Solar PV fed brushless drive with optical encoder for agriculture applications using IoT and FPGA. Opt Quant Electron 54:715. https://doi.org/10.1007/s11082-022-04065-0

4. Amin F, Hwang SO (2022) Automated service search model for the social Internet of Things.

5. Amor AB, Jebri S, Abid M, Meddeb A (2022) A secure lightweight mutual authentication scheme in social industrial IoT environment.

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