Difference between revisions of "IoTSec:Y1 Suggestions Research Council"
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== IoTSec recommendations for future research == | == IoTSec recommendations for future research == | ||
| − | + | Research Council asked for ideas on future research, being presented here as high-level recommendations and more detailed research specific challenges | |
| + | * '''Privacy labelling''': We have identified privacy labelling as a potential for making privacy work into a commercially viable alternative for companies that put more privacy into their products, apps, services. These can be seen for privacy the same as the energy labels for electronic equipment. | ||
| + | * '''Regulations and policies''': Development in this area is going to be so fast that we need closer collaboration with regulative bodies. | ||
| + | * '''User-involvement''': Research should be directed more towards the society, towards people. Incorporate citizens in projects, give them power to participate. | ||
| + | * '''Early design''': Use of fast prototyping and visualisation as a tool for reducing research cost. When ideas are tested in early stage, critical mistakes may be avoided, thus saving resources. | ||
| − | '' | + | Research specific challenges |
| + | * '''Complexity''' due to the concurrency and distributed nature of IoT systems | ||
| + | * '''Context-centric computation''', since the IoT devices, e.g., in the Smart Home, must be aware of the humans | ||
| + | * '''Lack of semantics''', since IoT systems would produce large amounts of data, which need semantic information in order to become usable. | ||
| + | * '''Models vs. programs''': Analysis and evaluation for agile prototyping based on executable models and semantic-based tools, as and evolution from programming and their low-level tools. | ||
| + | * '''Semantics for Security and Privacy''': Semantic technologies and ontologies are need to establish a unified terminology for fields of privacy and security. This would provide machine-readable data and would allow development of more automated tools. | ||
| + | * '''Edge and fog computing''' for privacy | ||
| + | * '''Measurable security and privacy''': might sound unrealistic for some of the purist researchers in security, but this is what companies do every day, maybe under different names such as risk analysis. However, we see a lack of automated tools and methodologies to help in measuring such important “unmeasurable” aspects like security, privacy, or robustness, which are essential in evaluating smart infrastructures. | ||
| + | |||
| + | ''Gjerne tilføye deres idéer'' | ||
Revision as of 09:02, 27 October 2016
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IoTSec recommendations for future research
Research Council asked for ideas on future research, being presented here as high-level recommendations and more detailed research specific challenges
- Privacy labelling: We have identified privacy labelling as a potential for making privacy work into a commercially viable alternative for companies that put more privacy into their products, apps, services. These can be seen for privacy the same as the energy labels for electronic equipment.
- Regulations and policies: Development in this area is going to be so fast that we need closer collaboration with regulative bodies.
- User-involvement: Research should be directed more towards the society, towards people. Incorporate citizens in projects, give them power to participate.
- Early design: Use of fast prototyping and visualisation as a tool for reducing research cost. When ideas are tested in early stage, critical mistakes may be avoided, thus saving resources.
Research specific challenges
- Complexity due to the concurrency and distributed nature of IoT systems
- Context-centric computation, since the IoT devices, e.g., in the Smart Home, must be aware of the humans
- Lack of semantics, since IoT systems would produce large amounts of data, which need semantic information in order to become usable.
- Models vs. programs: Analysis and evaluation for agile prototyping based on executable models and semantic-based tools, as and evolution from programming and their low-level tools.
- Semantics for Security and Privacy: Semantic technologies and ontologies are need to establish a unified terminology for fields of privacy and security. This would provide machine-readable data and would allow development of more automated tools.
- Edge and fog computing for privacy
- Measurable security and privacy: might sound unrealistic for some of the purist researchers in security, but this is what companies do every day, maybe under different names such as risk analysis. However, we see a lack of automated tools and methodologies to help in measuring such important “unmeasurable” aspects like security, privacy, or robustness, which are essential in evaluating smart infrastructures.
Gjerne tilføye deres idéer