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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Quantum Privacy-Preserving Range Query Protocol for Encrypted Data in IoT Environments.

Chong-Qiang Ye¹, Jian Li², Xiao-Yu Chen¹

¹School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China.

Sensors (Basel, Switzerland)

|November 27, 2024

Summary

This summary is machine-generated.

This study introduces a quantum encryption method for secure IoT data queries. It ensures user privacy by enabling comparisons on encrypted data, protecting sensitive information from breaches.

Keywords:

IoT security privacy protection quantum communication range query

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Area of Science:

Quantum Computing
Internet of Things (IoT)
Cybersecurity

Background:

IoT devices collect sensitive data, raising privacy concerns for range queries.
Existing methods struggle to balance security and data accessibility in IoT environments.

Purpose of the Study:

To develop a privacy-preserving range query scheme for IoT using quantum encryption.
To ensure secure querying of sensitive IoT data without compromising user privacy.

Main Methods:

Proposed a quantum private set similarity comparison protocol.
Constructed a privacy-preserving range query scheme leveraging quantum homomorphic encryption.
Conducted circuit simulations and performance analysis.

Main Results:

The scheme enables encrypted data comparisons, preventing sensitive data leakage.
Guaranteed correct query results against external and internal attacks.
Demonstrated feasibility with simple quantum states and operations, requiring minimal quantum resources.

Conclusions:

The proposed quantum encryption scheme offers a secure and feasible solution for privacy-preserving range queries in IoT.
Effectively protects sensitive IoT data while ensuring data utility and resisting sophisticated attacks.