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Risker med smarta hem : En kvantitativ studie om individens riskmedvetenhet

Smart homes are a growing digital phenomenon worldwide. It is widely used in everyday lifeby many people and the number of users increases significantly the more the area develops. Thesmart home contributes to many advantages both from an environmental perspective and froma comfort perspective, but as with most digital solutions, smart homes also have a backside, inthe form of security problems. There are many risks associated with using a smart home, andthe purpose of the study is to find out to what extent the individuals are aware of the risksassociated with smart homes, and to find out which risks affect the individuals the most, basedon their own point of view. The questions underlying the study are as follows: "To what extentis the individual aware of the risks associated with smart homes?" and "What risks have thegreatest impact on the individual?". In order to answer these questions, the study has beencarried out through a quantitative method in which a questionnaire was designed, the surveypresented, among other things, the risks that were chosen from the theory where we asked therespondents how conscious they are about these risks. The result shows that the majority ofrespondents are aware that there are risks with smart homes. The study shows that the greatestknowledge existed about the risks of eavesdropping and traffic analysis, even for those whowere not users of smart homes and regardless of age group. As for the other risks, it is users ofsmart 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 risksand to carry out a similar study with a qualitative method to get more nuanced answers.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hb-25558
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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