[Retracted] Analysis of Privacy-Preserving Edge Computing and Internet of Things Models in Healthcare Domain

Table 3

Summary of privacy preservation challenges in both IoT and edge computing-based healthcare solutions.

Privacy preservation challenges computing	IoT	Edge
(1) Less computing power for executing privacy solutions.	✓
(2) Inefficient performance for real time secure processing.	✓
(3) Limited resources with regard to bandwidth.	✓
(4) Lack of privacy policies.	✓	✓
(5) Absence of trust management layers between computing paradigms.	✓	✓
(6) Lack of user awareness about sharing their own data.	✓	✓
(7) Limited resources with regard to memory.	✓	✓
(8) High mobility of devices introduces the challenge to keep the privacy preservation mechanisms intelligent and dynamic.	✓	✓
(9) Dependence on other platforms for optimal performance.	✓
(10) Heterogeneous nature impels for complex intercommunication between devices and among platforms.	✓	✓
(11) Decentralized architecture’s complexity.		✓
(12) Requirement of unconventional lightweight privacy mechanisms.		✓
(13) Compatibility issues within devices can lead to misconfiguration and thus data exposure.		✓
(14) High computational overheads.		✓
(15) Possibility of hardware (device/node) compromise.	✓	✓