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On the risk exposur...
On the risk exposure of smart home automation systems
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- Boldt, Martin (author)
- Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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- Jacobsson, Andreas (author)
- Malmö högskola,Teknik och samhälle (TS),Internet of Things and People (IOTAP)
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- Carlsson, Bengt (author)
- Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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(creator_code:org_t)
- IEEE Computer Society Digital Library, 2014
- 2014
- English.
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In: Proceedings 2014 International Conferenceon Future Internet of Things and Cloud. - : IEEE Computer Society Digital Library. - 9781479943579
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Abstract
Subject headings
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- A recent study has shown that more than every fourth person in Sweden feels that they have poor knowledge and control over their energy use, and that four out of ten would like to be more aware and to have better control over their consumption [5]. A solution is to provide the householders with feedback on their energy consumption, for instance, through a smart home automation system [10]. Studies have shown that householders can reduce energy consumption with up to 20% when gaining such feedback [5] [10]. Home automation is a prime example of a smart environment built on various types of cyber-physical systems generating volumes of diverse, heterogeneous, complex, and distributed data from a multitude of applications and sensors. Thereby, home automation is also an example of an Internet of Things (IoT) scenario, where a communication network extends the present Internet by including everyday items and sensors [22]. Home automation is attracting more and more attention from commercial actors, such as, energy suppliers, infrastructure providers, and third party software and hardware vendors [8] [10]. Among the non-commercial stake-holders, there are various governmental institutions, municipalities, as well as, end-users.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Software
- Logic gates
- Smart homes
- Servers
- Risk analysis
- Authentication
Publication and Content Type
- ref (subject category)
- kon (subject category)
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