Review on lightweight cryptography techniques and steganography techniques for IoT environment
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13198-024-02476-8.pdf
Reference106 articles.
1. Abd-El-Atty B (2023) A robust medical image steganography approach based on particle swarm optimization algorithm and quantum walks. Neural Comput Appl 35(1):773–785. https://doi.org/10.1007/s00521-022-07830-0
2. Aboushosha B, Ramadan RA, Dwivedi AD, El-Sayed A, Dessouky MM (2020) SLIM, a lightweight block cipher for internet of health things. IEEE Access 8:203747–203757. https://doi.org/10.1109/ACCESS.2020.3036589
3. Al-Bayati AFH (2023) An improved steganography system based on contrast variation with fibonacci decomposition to increase imperceptibility (Master’s thesis, Altınbaş Üniversitesi/Lisansüstü Eğitim Enstitüsü). https://hdl.handle.net/20.500.12939/4504
4. Al-Thahab OQ, Hussein AA (2020) Implementation of Stego-Watermarking Technique by Encryption Image Based On Turbo Code For Copyright Application. In 2020 1st. Information Technology to Enhance e-learning and Other Application (IT-ELA) IEEE, pp. 148–153. https://doi.org/10.1109/IT-ELA50150.2020.9253112
5. Alawe I, Ksentini A, Hadjadj-Aoul Y, Bertin P (2018) Improving traffic forecasting for 5G core network scalability: a machine learning approach. IEEE Network 32(6):42–49. https://doi.org/10.1109/MNET.2018.1800104
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