International Journal of Wireless and Microwave Technologies (IJWMT)
IJWMT Vol. 16, No. 2, 8 Apr. 2026
Cover page and Table of Contents: PDF (size: 1583KB)
Attribute-Adaptive Noise Injection for Robust Differential Privacy in Cyber Physical Systems
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Author(s)
Index Terms
Attribute, Noise, Differential Privacy, Cyber-Physical System, Adaptive, Sensitive
Abstract
This paper introduces Attribute-Adaptive Noise Injection (AANI), a novel approach to enhance differential privacy in Cyber-Physical Systems (CPS). AANI addresses the privacy-utility trade-off by dynamically adjusting noise injection based on individual data attribute sensitivity, correlation, and utility needs. This tailored approach allows for fine-grained privacy control, adapting to the diverse data generated by CPS components. The paper outlines AANI's framework, proposes efficient algorithms for attribute-specific noise calculation, and demonstrates its effectiveness through simulations. Results show AANI outperforms traditional differential privacy methods by improving both privacy protection and data utility in CPS.
Cite This Paper
Manas Kumar Yogi, A.S.N.Chakravarthy, "Attribute-Adaptive Noise Injection for Robust Differential Privacy in Cyber Physical Systems", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.16, No.2, pp. 97-117, 2026. DOI:10.5815/ijwmt.2026.02.08
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