Toward Privacy-Preserving Directly Contactable Symptom-Matching Scheme for IoT Devices

Author:

Guo Rongrong1,Zhu Jianhao1,Cai Mei2ORCID,He Wen1,Yang Qianheng1

Affiliation:

1. The College of Cyber Security, Jinan University, Guangzhou 510632, China

2. Jinan University Library, Guangzhou 510632, China

Abstract

The development of IoT devices has driven technological advancements across industries, especially in healthcare. IoT devices have brought many conveniences to patients, such as symptom matching, the real-time acquisition of health data, and online diagnosis. However, the development of the Internet of Things also brings security and privacy challenges, which have attracted the attention of many scholars. In symptom matching, patients can communicate with patients similar to themselves through symptom matching, exchange treatment experiences, and encourage each other. However, matching in plaintext will pose a huge threat to user privacy, such as discrimination, which in turn affects job hunting, etc. Therefore, this paper proposes a symptom-matching scheme for IoT devices based on the Diffie–Hellman key agreement. Specifically, we construct and formally define the Switching Threshold Label Private Set Intersection (STLPSI) protocol based on the Diffie–Hellman key agreement and apply it for medical symptom matching. Our protocol can not only set the threshold of the same symptoms, but also patients who meet the threshold can obtain one another’s contact information. Furthermore, our scheme does not rely on any trusted third parties. Through security analysis and experiments, our scheme is shown to be effective in preserving privacy during symptom matching.

Funder

National Natural Science Foundation of China

Guangdong Provincial Science and Technology Project

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference31 articles.

1. Building caring healthcare systems in the internet of things;Laplante;IEEE Syst. J.,2017

2. Guest editorial special issue on software defined networking for internet of things;Wang;IEEE Internet Things J.,2018

3. An anonymity communication protocol for security and privacy of clients in iot-based mobile health transactions;Attarian;Comput. Netw.,2021

4. Secure and lightweight privacy preserving internet of things integration for remote patient monitoring;Ahmed;J. King Saud-Univ.-Comput. Inf. Sci.,2022

5. Toward privacy-preserving symptoms matching in sdn-based mobile healthcare social networks;Jiang;IEEE Internet Things J.,2018

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