What is it about?
Location-based services (LBS) have become integral to modern mobile applications, enabling users to access location-specific information and services. However, ensuring user privacy while providing relevant and personalized advertisements poses significant challenges. This article presents a novel approach that combines homomorphic encryption and proximity testing techniques to preserve user privacy in mobile advertising. The proposed system leverages ElGamal encryption to perform mathematical operations to encrypt data, allowing secure computation of sensitive location information. By encrypting and blinding location and category values, the system ensures that neither the user nor the merchants have access to each other's precise location details. Experiment results show the proposed method effectively protects the privacy of both users and merchants.
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Why is it important?
The research article introduces a novel framework designed to protect the privacy of mobile users utilizing location-based services (LBS). This allows end users to safeguard their privacy while accessing LBS.
Perspectives
The research proposes various methods to help protect mobile user whereabouts when accessing services.
Sanjaikanth E Vadakkethil Somanathan Pillai
University of North Dakota
Read the Original
This page is a summary of: Privacy-Preserving Mobile Advertising Using ElGamal Encryption and Private Proximity Testing, April 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3603287.3651181.
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