# Utilizing Blockchain for IoT Privacy through Enhanced ECIES with Secure Hash Function
## 3 Modified ECIES with Secure Hash Function
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Approach** & \begin{tabular}{c} **Proposed Scheme** \\ **Modified ECIES with a SHF** \\ \end{tabular} & \begin{tabular}{c} **Approach of [PERSON] et al. [14]** \\ **Mutual Authentication with ECIES** \\ \end{tabular} \\ \hline \begin{tabular}{c} **Encryption/** \\ **Decryption** \\ **Strength** \\ \end{tabular} & \begin{tabular}{c} The strength of the encryption/decryption is measured in terms of the correlation coefficient. \\ The improvement in the correlation coefficient is from 0.34499 to 0.30122 \\ \end{tabular} & Provides an average correlation coefficient of 0.34499. \\ \hline \begin{tabular}{c} **Computation** \\ **time** \\ \end{tabular} & \begin{tabular}{c} Computation time is measured in terms of execution time. \\ The computation time decreases from 102.733 ms to \\ 95.48 ms, reducing the encryption/decryption time from \\ 39.925 ms and 41.513 ms to 34.444 ms and 35.859 ms. \\ \hline \begin{tabular}{c} **Contribution 1** \\ \end{tabular} & \begin{tabular}{c} The generation of an SHF increases the security strength of the key by adding new features for calculating private and public keys from the safer elliptic curve points. With the generation of an SHF, the security strength of the transmitted message is improved, which enhances the user privacy in IoT. \\ \end{tabular} & \begin{tabular}{c} Provide an average computation time of 102.733 ms with average encryption decryption time of 39.925 ms and 41.513 ms. \\ \end{tabular} \\ \hline \begin{tabular}{c} **Contribution 2** \\ \end{tabular} & \begin{tabular}{c} The KDF introduces key stretching capability and \\ decreases the number of iterations processes while \\ deriving keys for authentication. This reduces the time for encryption and decryption. \\ \end{tabular} & \begin{tabular}{c} Does not use hash function generation for computing private \\ and public keys for encrypting the transmitted message \\ in IoT, which results in the violation of user privacy. \\ \end{tabular} \\ \hline \begin{tabular}{c} **Contribution 2** \\ \end{tabular} & \
\begin{tabular}{c} The KDF introduces key stretching capability and \\ decreases the number of iterations processes while \\ deriving keys for authentication. This reduces the time for encryption and decryption. \\ \end{tabular} &
\begin{tabular}{c} The computation time is affected by the number of users \\ showing the system unreliability. \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Comparison between Proposed Scheme and [PERSON] et al. [14]. **Author Contributions:** Conceptualization, Y.P.K. ; Methodology, K.S. ; Project administration, A.A. and S.U.R. ; Resources, S.U.R. ; Supervision, A.A., A.B.A.-K., P.W.C.P., S.U.R. and R.I.J. ; Writing--original draft, Y.P.K. and K.S. ; Writing--review & editing, K.S. All authors have read and agreed to the published version of the manuscript. **Funding:** This research received no external funding. **Data Availability Statement:** Not applicable, the study does not report any data. **Conflicts of Interest:** The authors declare no conflict of interest. ## References

* (1) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] A survey on the internet of things (IoT) forensics: Challenges, approaches, and open issues. _IEEE Commun. Surv. Tuts_**2020**, _22_, 1191-1221. [CrossRef]
* (2) [PERSON]; [PERSON]; [PERSON]; [PERSON] A roadmap for security challenges in the Internet of Things. _Digit. Commun. Netw._**2018**, \(4\), 118-137. [CrossRef]
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* (4) [PERSON]; [PERSON]; [PERSON] IoT data profiles: The routines of your life reveals who you are. In Proceedings of the European Intelligence and Security Informatics Conference (EISIC), Athens, Greece, 11-13 September 2017; pp. 61-67.