Title: PPSSDHE: privacy preservation in smartphone sensors data using ElGamal homomorphic encryption

Authors: S. Manimaran; D. Uma Priya

Addresses: Centre for Computational Engineering and Networking, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' School of Computer Science and Engineering, VIT University, Vellore, TN, India

Abstract: Smartphone sensors act as vital sensing organs, enabling various mobile applications and activities. However, protecting the privacy of sensor data presents significant challenges that affect smartphone users and artificial intelligence (AI) applications. Unauthorised access to sensitive sensor information poses a major privacy concern. This paper focuses on addressing these issues by introducing a novel scheme that utilises homomorphic encryption (HE) to secure smartphone sensor data and protect user privacy. The method converts decimal values generated by sensors into integers, applying homomorphic encryption to ensure confidentiality and prevent personal information leakage. The proposed scheme employs the ElGamal cryptosystem, particularly suited for multiplication operations, allowing users to securely operate on encrypted data outside the smartphones. Experimental results demonstrate that this approach is highly effective, achieving elevated levels of security, privacy, and data confidentiality while guarding against information leaks.

Keywords: sensors; privacy preservation; homomorphic encryption; smartphone; security.

DOI: 10.1504/IJSNET.2024.142718

International Journal of Sensor Networks, 2024 Vol.46 No.4, pp.218 - 229

Received: 08 Feb 2024
Accepted: 18 Apr 2024
Published online: 18 Nov 2024 *

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