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Risker med Smarta Hem : En kvantitativ studie om individens riskmedvetenhet / Risks with Smart Homes : A quantitative study of risk awareness in a sampled population

Smart homes are a growing digital phenomenon worldwide. It is widely used in everyday life by many people and the number of users increases significantly the more the area develops. The smart home contributes to many advantages both from an environmental perspective and from a comfort perspective, but as with most digital solutions, smart homes also have a backside, in the form of security problems. There are many risks associated with using a smart home, and the purpose of the study is to find out to what extent the individuals are aware of the risks associated with smart homes, and to find out which risks affect the individuals the most, based on their own point of view. The questions underlying the study are as follows: "To what extent is the individual aware of the risks associated with smart homes?" and "What risks have the greatest impact on the individual?". In order to answer these questions, the study has been carried out through a quantitative method in which a questionnaire was designed, the survey presented, among other things, the risks that were chosen from the theory where we asked the respondents how conscious they are about these risks. The result shows that the majority of respondents are aware that there are risks with smart homes. The study shows that the greatest knowledge existed about the risks of eavesdropping and traffic analysis, even for those who were not users of smart homes and regardless of age group. As for the other risks, it is users of smart homes who have the greatest knowledge about the risks and also individuals aged 30-39. Eavesdropping is the risk that the individuals consider to be the most and least serious risk. Future research in the field can be to find out how the users protect themselves against the risks and to carry out a similar study with a qualitative method to get more nuanced answers.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hb-22243
Date January 2019
CreatorsArnegärd, Lovisa, Sjödahl, Gisela
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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