A novel privacy-preserving technique using steganography and L-diversity for multi-relational educational dataset-Reference-Cited by-同舟云学术

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A novel privacy-preserving technique using steganography and L-diversity for multi-relational educational dataset

Published:2023-06-19 Issue:6 Volume:15 Page:3307-3325
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Muttoo Sunil Kumar,Nisha ,Singhal Archana

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01305-8.pdf

Reference20 articles.

1. Nisha AS, Muttoo SK (2020) Learning Analytics: A Literature Review and its Challenges. Proceedings of the 5th International conference on Information and Communication Technology for Competitive Strategies (ICTCS). Springers (Scopus Indexed)

2. Idrees SM, Afshar Alam M, Agarwal P (2019) A study of big data and its challenges. Int J Inf Tecnol 11:841–846

3. Sen AAA, Eassa FA, Jambi K (2018) Preserving privacy in internet of things: a survey. Int J Inf Technol 10:189–200

4. Allagi S, Rachh R, Anami B (2021) A hybrid model for data security and preserving anonymity using machine learning. Int J Inf Technol 13:2397–2410

5. Shastri MD, Pandit AA (2021) Remodeling: improved privacy preserving data mining (PPDM). Int J Inf Technol 13:131–137

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