Smarta hem är ett koncept som har utvecklats i hög takt under de senaste åren. Enhetersom kylskåp, lampor och dörrar i bostäder kopplas upp och kan sedan styras med hjälp aven mobil för att underlätta i vardagen. Eftersom dessa uppkopplade enheter samlar in dataom oss blir säkerhet och integritet något som diskuteras flitigt. I denna uppsats presenterasresultatet från intervjuer som har gjorts med fyra olika företag som säljer produkter somsamlar in data från internet of things-enheter. Tre av dessa företag säljer internet of things-enheter till smarta hem. Syftet är att se hur dessa företag hanterar datainsamling från sinakunder och vilka utmaningar de ställs inför i det arbetet samt om detta påverkar kundernasintegritet och säkerhet. / Smart homes is a concept that has been developed rapidly the last years. People connectdevices like refrigerators, lightning and doors in their homes that they can control withtheir smartphones to facilitate in their everyday life. Since these connected devices collectdata about us, security and privacy is something that is discussed frequently. In this thesiswe present the result from interviews that is conducted with four different companies thatsell products that gather data from internet of things units. Three of these companiessell IoT products for smart homes. The purpose is to show how these companies handlecollected data from customers and what challenges they face in this work and if that affectsthe customers.

At Halmstad University, the CatFish Project aims to measure and report on water quality. The System includes three components, one to measure, one to present, and one to handle data. This thesis explains the development of a cloud-based back-end solution created for the CatFish project. The solution connects IoT devices via the MQTT protocol. The devices are connected to collect and transfer data, later stored in a database, to be presented to a web application via a REST or WebSocket API. The solution is implemented with Amazon Web Services as a cloud service provider and is hosted on their platform. / Vid Högskolan i Halmstad ämnar CatFish projektet att mäta och rapportera om vattenkvalitet. Systemet innehåller tre komponenter, en för att mäta, en för att presentera och en för att hantera data. Denna rapport kommer detaljera utvecklingen av den molnbaserade lösning som skapats för projektet, i syfte att hantera data. Lösningen kopplar samman IoT enheter via MQTT protokollet, dessa enheter samlar och skickar sedan data till molnet, där denna data samlas i en databas, för att senare presenteras via en webbapplikation. Datan skickas till denna via REST eller WebSocket APIer. Lösningen implementeras med Amazon Web Services som plattform och det även på denna plattform som lösningen körs.

Cloud computing is still in an early stage of development and Microsoft is now investing considerable amount of resources in the cloud. Microsoft Azure is a cloud platform developed by Microsoft and it is continuously evolving, new features are constantly being added and old features are being updated. Integration Software, which is a company that focuses on products for system integration strongly believes that cloud­-based solutions will have a significant impact on their future. This is why selling and developing solutions and services for the cloud are strategically important for them. The objective of this dissertation is to investigate Microsoft Azure in general and Azure Marketplace in particular. This investigation consisted of an implementation of a Microsoft Azure application and integrating this application with Azure Marketplace and evaluating the expenses for running the application. The purpose for this project is to gain practical experience and to work with new techniques and help Integration Software better understand Azure Marketplace. The application is a Log Agent which fetches data from an external source and resends the data to an external party (Integration Manager). Our first intention was to package and deploy the application to a newly updated Azure Marketplace. The new Azure Marketplace was never released during this dissertation so we decided to deploy the application to the existing version of Azure Marketplace. This was however not fully successful. We encountered some problems in successfully deploying the application to Azure Marketplace. The evaluations for the cost of running an Azure application were not carried out due to lack of time.