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Secure Infectious Diseases Detection System with IoT-Based e-Health Platforms

Journal Article


Abstract


  • In a traditional health system, it merely depends on doctors’ initiative reports to discover infectious diseases, which causes late responses from the Center for Disease Control (CDC) and therefore may result in snowballed loss of lives and economy. Sometimes, the disease has spread when doctors realize it is infectious, and the CDC has to invest more human and material resources to control it. In this paper, we propose a new secure infectious diseases detection system with the help of IoT-based e-health platform. In our system model, the hospitals collect patients’ electronic health records (EHR) and outsource the encrypted EHRs to the contracted cloud. The CDC can regularly send a test query to the cloud server to check whether there are patients who have similar symptoms or some increasing signs, which are regarded as signs of infectious diseases. With this system, the CDC can find the small signs of infectious diseases so that it can make appropriate and timely measures to save more lives. To enable the cloud server to perform the required test, we propose a new cryptographic notion, called public-key encryption with DFET (PKE-DFET), with which we can check whether the underlying messages of two ciphertexts are equal or not after ignoring the bits on designated positions without decryption. The cloud server can utilize the PKE-DFET to flexibly count the number of patients with similar symptoms following the CDC’s instructions. We first instantiate the PKE-DFET into a concrete construction, where anyone can be a tester to perform the DFET on ciphertexts. Finally, we extend our PKE-DFET construction to enable it to be flexible in different actual application scenarios.

Publication Date


  • 2022

Citation


  • Zhao, Z., Guo, F., Wu, G., Susilo, W., & Wang, B. (2022). Secure Infectious Diseases Detection System with IoT-Based e-Health Platforms. IEEE Internet of Things Journal. doi:10.1109/JIOT.2022.3181582

Scopus Eid


  • 2-s2.0-85132783553

Web Of Science Accession Number


Volume


Issue


Place Of Publication


Abstract


  • In a traditional health system, it merely depends on doctors’ initiative reports to discover infectious diseases, which causes late responses from the Center for Disease Control (CDC) and therefore may result in snowballed loss of lives and economy. Sometimes, the disease has spread when doctors realize it is infectious, and the CDC has to invest more human and material resources to control it. In this paper, we propose a new secure infectious diseases detection system with the help of IoT-based e-health platform. In our system model, the hospitals collect patients’ electronic health records (EHR) and outsource the encrypted EHRs to the contracted cloud. The CDC can regularly send a test query to the cloud server to check whether there are patients who have similar symptoms or some increasing signs, which are regarded as signs of infectious diseases. With this system, the CDC can find the small signs of infectious diseases so that it can make appropriate and timely measures to save more lives. To enable the cloud server to perform the required test, we propose a new cryptographic notion, called public-key encryption with DFET (PKE-DFET), with which we can check whether the underlying messages of two ciphertexts are equal or not after ignoring the bits on designated positions without decryption. The cloud server can utilize the PKE-DFET to flexibly count the number of patients with similar symptoms following the CDC’s instructions. We first instantiate the PKE-DFET into a concrete construction, where anyone can be a tester to perform the DFET on ciphertexts. Finally, we extend our PKE-DFET construction to enable it to be flexible in different actual application scenarios.

Publication Date


  • 2022

Citation


  • Zhao, Z., Guo, F., Wu, G., Susilo, W., & Wang, B. (2022). Secure Infectious Diseases Detection System with IoT-Based e-Health Platforms. IEEE Internet of Things Journal. doi:10.1109/JIOT.2022.3181582

Scopus Eid


  • 2-s2.0-85132783553

Web Of Science Accession Number


Volume


Issue


Place Of Publication