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Privacy-Preserving Techniques in IoT (e.g., Differential Privacy, Homomorphic Encryption)
Privacy-Preserving Techniques in IoT (e.g., Differential Privacy, Homomorphic Encryption)
Question
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How important is it for you to have the ability to analyze data from IoT devices without revealing the underlying data itself?
1.
Very important
2.
Important
3.
Neutral
4.
Not important
5.
Not applicable
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Question
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Considering privacy-preserving techniques like Differential Privacy or Homomorphic Encryption, which of the following features are most important to you?
1.
High level of data privacy
2.
Low computational overhead
3.
Ease of integration with existing systems
4.
Ability to perform complex data analysis
5.
Scalability to handle large datasets
6.
Cost-effectiveness
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Question
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What type of IoT data privacy concerns you most?
1.
Data breaches
2.
Unauthorized data access
3.
Data misuse/profiling
4.
Lack of data control
5.
Other (Please specify: __________)
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Question
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Which IoT applications are most critical for you to protect with privacy-preserving techniques?
1.
Healthcare (e.g., remote patient monitoring)
2.
Smart home devices
3.
Industrial IoT
4.
Smart city infrastructure
5.
Other (Please specify: __________)
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Question
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What are the biggest obstacles you face in implementing privacy-preserving techniques in IoT?
1.
Computational overhead
2.
Lack of skilled personnel
3.
Integration complexity
4.
Regulatory compliance challenges
5.
Cost concerns
6.
Other (Please specify: __________)
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