Towards Privacy Preserving IoT Environments: A Survey

Table 3

Summary of privacy preserving proposed solutions in IoT environments.

Solution	Summary	References
Authentication and Authorization	(i) Lightweight authentication and key establishment mechanisms	[64–68]
	(ii) Frameworks based on device fingerprinting techniques
	(iii) Context-aware access control models and enforcing mechanisms
Edge Computing and plug in architecture	(i) Software modules on the edge to overcome privacy concerns	[69–74]
	(ii) Privacy aware systems to allow user control over data
	(iii) Decentralized architectures based on Personal-Cloud Butlers
Data Anonymizing and denaturing	(i) Data brokers and separation algorithms to offer flexibility to service providers, yet respect user-predefined access rules	[75–84]
	(ii) Generalization to mask personal data
	(iii) Frameworks that provide emotion analytics lifecycle to allow denaturing
Digital Forgetting and Data Summarization	(i) Delete encrypted data when decryption key is deleted	[85–90]
	(ii) Acquire only the strictly needed data rather than all data
	(iii) Apply knowledge discovery in databases and data mining technologies