Privacy-preserving machine learning and robust cryptography in TensorFlow for empowering secure IoT analytics

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Computational Vision and Robotics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcvr.2025.10070176
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

Privacy-preserving machine learning and robust cryptography in TensorFlow for empowering secure IoT analytics

Surendra S. Yadav, Kritika Purohit
International Journal of Computational Vision and Robotics
Chaos-based Image/Signal Encryption
article

Privacy-preserving machine learning and robust cryptography in TensorFlow for empowering secure IoT analytics

Surendra S. Yadav, Kritika Purohit
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Computational Vision and RoboticsVol. 1(1)
Openalex Percentile: Top 96%
Chaos-based Image/Signal Encryption
DOIOpen Access PDFOpenAlex
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Privacy-preserving machine learning and robust cryptography in TensorFlow for empowering secure IoT analytics — Surendra S. Yadav, Kritika Purohit · International Journal of Computational Vision and Robotics (2025) | TGRS Research Map | TGRS