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

Round 1

Reviewer 1 Report

The authors proposed a Diffie-Hellman algorithm (DH)-based symptom-matching scheme for IoT devices. They construct and formally define the STLPSI protocol based on proposed modified DH key agreement and apply for medical symptom matching. The proposed approach also helps to avoid any third party dependency towards information exchange.

Authors are requested to modify the manuscript with following recommendations:

1. at section 3.4., there are two Sender computer key, one will be definitely Receiver. please correct this.

2. usage of first acronym "DH" should introduce the full-form of Diffie-Hellman (in the abstract and the text to help the readers..)

3. Please correct Esk(H(y)) in Figure 3.....it should be y_i....However, i will suggest Figures and Tables are misleading here....use Table instead of Figure for Fig. 1/3 etc.

4. More evidence is needed to establish the correctness/security proof.... what is represented in the manuscript is lemma and theoretical proof of concept..... Authors are requested to validate the proof of concept with some numerical analysis.......say, Figure 3. each step/process must be justified with a numerical computation (figures and numbers)..

5. The representation and organization of the manuscript is very poor. Sometimes repetitive context has been used....Figure 3. standalone is well enough to understand the context of sec 5 (proposed method/protocol)....instead demonstrate the protocol with a real numerical example .......it will surely help the readers to correlate and understand the novelty

6. the authors are requested to compare their method (against some common metrics) against few previous research works/methodology (as cited in related work) to support the novelty claim in addition with Figure 4 and 5 and Table 1 and Table 2.

7. How Table 2 came before Table 1? should follow representation hierarchy.

I recommend major edits of this manuscript in its present format and resubmission encouraged.

 

Author Response

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Reviewer 2 Report

This paper proposes a DH-based symptom-matching scheme for IoT devices. Specifically, the authors construct and formally define the Switching Threshold Label Private Set Intersection protocol (STLPSI) protocol based on DH and apply it for medical symptom matching.

Below are my concerns which are to be addressed:

1. Do the researchers have not published any similar kind of works earlier or this is the first time in the literature the author took threshold based model.

2. Why there is no comparison of results with the proposed work with the earlier works done by other researchers if any?

3. Is the communication cost and the time are the only parameters to measure the performance of the system for betterment?

4. Overall, the novelty of the work should be strongly highlighted in the paper.

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors take into considerations all reviewers suggestions/feedback. The readability and organization of the manuscript have been improved.

There is a typo error nul3 instead mul3 in Table 1.

I recommend the manuscript to be accepted after the correction...

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Authors have addressed my comments well.

Author Response

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Author Response File: Author Response.pdf