# Privacy-Preserving Data Sharing in Telehealth Services
## 4 Analysis and Evaluation
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Security Feature** & **[PERSON] et al. [18]** & **[PERSON]** & **[PERSON] et al. [20]** & **[PERSON]** & **[PERSON] et al. [22]** & **[PERSON]** & **Proposed Model** \\  & & & & & **et al. [21]** & & **et al. [23]** & **Proposed Model** \\ \hline
**Enception Method** & Unique patient ID & Private permissioned & Attribute-based & Federated systems & Improved & Homomorphic \\  & random key & blockchain min & encryption (MBE) & pseudonymization & signatures and authentication and & encryption with \\  & generator & Hyperledger Fabric & with policy privacy & and OMOF model & time-lock puzzles & key agreement & integration \\ \hline
**Data Integrity** & Ensures unique keys & Byzantine Fault Tolerance for & Focuses on flexible & Data harmonization & Comprehensive & Addresses & Blockchain-based \\  & for each patient & Tolerance & data sharing with & Data harmonization & assessments for data & vulnerabilities in & auditing and verification \\  & Consistency & encryption & for secondary use & transmission & existing TIMs & \\ \hline
**Access Control** & Facilitated through & Smart contracts & Utils federated & Mechanisms for & Enhanced access & Senior contracts & enforce patient-set \\  & patient-specific keys & analyse control & access control & node-based control & association & control in TIMs & permissions \\ \hline
**Scalability** & Limited by unique & Scalable through & Surports multiple & Facilitates data & Emphasizes secure & Focus on improved & Uses SMC for \\  & key generation & private blockchain & domains with ABE & sharing across & data transmission & efficiency within & scalability with \\  & process & and IPFS & & different systems & data use & TIMs & asymptotically \\ \hline
**User Anonymity** & Not specifically & Provides user & Maintains policy & Pseudonymization & Uses anonymity for & Enhanced systems and \\  & adressed & anonymity with & hidden attribute & privacy-preserving & data use & data & preserve user privacy & encryption for \\  & & & & & & & \\ \hline
**Authentication** & Unique IDs & Blockchain with & Multi-authority & Authentication & & & Improvements over & Combines biometric \\  & combined with & smart contracts for & role-based & through federated & secure authentication & authentication & authentication & traditional \\  & encryption & access control & authentication & nodes & & schemes & credentials \\ \hline
**Threats Addressed** & Focuses on & Robust against DoS, & Designed for & Emphasizes privacy & Aims to secure & Targets replay, & Comprehensive \\  & imperonsation and & repily, and itself & flexibility against & and secure data & transmission and & imperonsation, and & defense against a \\  & data security & threats & multi-user threats & interoperability & compliance & tracking attack issues & range of attacks \\ \hline
**Innovative Aspect** & Random key & Integration of IPFS & Policy privacy with & Federated system & Use of & Vulnerability & Integration of \\  & generation lead to & and Hyperledger & hidden attribute & with data & forward-secure and & assessment and & homomorphic \\  & ECG signals & with smart contracts & values & harmonization & time-lock & improvements to & encryption with \\  & & & & & & & \\ \hline
**Performance in Real** & Effective for & Scalable solution & & & & & \\  & with proven & Focused on secure & & & & & \\  & with individual & efficiency in & data sharing within & and & security and & enhanced security & \\  & encryption keys & blockchain & cloud environments & multi-institutional & performance & and efficiency in & \\  & applications & applications & & data analysis & evaluations & TIMs & encryption and \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Security features of different schemes.