The Internet of Things (IoT) provides smart solutions for future urban communities to address key benefits with the least human intercession. A smart home offers the necessary capabilities to promote efficiency and sustainability to a resident with their healthcare-related, social, and emotional needs. In particular, it provides an opportunity to assess the functional health ability of the elderly or individuals with cognitive impairment in performing daily life activities. This work proposes an approach named Cognitive Assessment of Smart Home Resident (CA-SHR) to measure the ability of smart home residents in executing simple to complex activities of daily living using pre-defined scores assigned by a neuropsychologist. CA-SHR also measures the quality of tasks performed by the participants using supervised classification. Furthermore, CA-SHR provides a temporal feature analysis to estimate if the temporal features help to detect impaired individuals effectively. The goal of this study is to detect cognitively impaired individuals in their early stages. CA-SHR assess the health condition of individuals through significant features and improving the representation of dementia patients. For the classification of individuals into healthy, Mild Cognitive Impaired (MCI), and dementia categories, we use ensemble AdaBoost. This results in improving the reliability of the CA-SHR through the correct assignment of labels to the smart home resident compared with existing techniques.

Tillkomsten av digital teknik har lett till betydande framsteg i olika aspekter av våra liv, inklusive konceptet smarta hem. Ett smart hem är en innovativ integration av sammankopplade enheter och system som syftar till att förbättra komfort, bekvämlighet och säkerhet i bostadsmiljöer. Detta examensarbete utforskar möjligheter och utmaningar förknippade med det digitala smarta hemmet, med ett specifikt fokus på dess säkerhetssystem. Huvudsyftet med denna studie är att analysera de potentiella fördelar och möjligheter som uppstår genom att implementera ett digitalt säkerhetssystem. Den fördjupar sig i de tekniska framstegen som möjliggör automatisering, energieffektivitet och förbättrad livskvalitet för husägare. Men i takt med att hem blir allt mer digitaliserade ökar också sårbarheten för cyberattacker och integritetsintrång. Därför syftar denna forskning till att identifiera säkerhetsrisker och sårbarheter som är ett resultat av den sammankopplade naturen hos smarta hemenheter. Den undersöker de åtgärder och strategier som kan användas för att skydda smarta husägares integritet, dataintegritet och personlig säkerhet. Genom att genomföra en omfattande litteraturgenomgång och expertintervjuer ger denna uppsats en djupgående analys av de möjligheter och utmaningar som det digitala smarta hemmet och säkerhetssystemet utgör. Resultaten bidrar till en omfattande förståelse av de tekniska framstegen inom detta område och belyser deras konsekvenser för husägare, branschfolk och beslutsfattare. I slutändan fungerar den här avhandlingen som en värdefull resurs för individer och organisationer som vill dra nytta av de möjligheter som digitala smarta hem erbjuder samtidigt som de effektivt tar itu med de associerade utmaningarna. Det ger insikter i bästa praxis för att säkra smarta hemsystem och understryker vikten av att utveckla robusta säkerhetsprotokoll för att skydda husägares integritet och tillgångar i en allt mer sammankopplad värld. / The advent of digital technologies has brought forth significant advancements in various aspects of our lives, including the concept of a smart home. A smart home is an innovative integration of interconnected devices and systems that aim to enhance comfort, convenience, and security within a residential setting. This thesis explores the opportunities and challenges associated with the digital smart home, more specifically its security system. The primary objective of this study is to analyze the potential benefits and opportunities that arise from the implementation of a digital security system. It delves into the various technological advancements that enable automation, energy efficiency, and improved quality of life for homeowners. As the digitalization of homes advances, the vulnerability to cyber-attacks and privacy breaches increases. This research aims to identify potential security risks and vulnerabilities that arise from the interconnected nature of smart home devices. It investigates the measures and strategies that can be employed to safeguard the privacy, data integrity, and personal security of smart homeowners. Through a combination of literature review and expert interviews, this thesis provides an in-depth analysis of the opportunities and challenges posed by the digital smart home and security system. The findings of this research contribute to a comprehensive understanding of the technological advancements in the field and shed light on the implications for homeowners, industry professionals, and policymakers. Ultimately, this thesis serves as a valuable resource for individuals and organizations seeking to leverage the opportunities presented by digital smart homes while addressing the associated challenges. It offers insights into best practices for securing smart home systems and underscores the importance of developing robust security protocols to protect homeowners' privacy and assets in an increasingly interconnected world.

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Populariteten av Internet of Things (IoT)- enheter är någonting som på senaste tidenökat, Dessa enheter avser smarta enheter uppkopplade mot internet som används avbåde privatpersoner och företag. Ett användningsområde för dessa smarta enheter ärinom hemmet som syftar till att ge mer bekvämlighet för användarna och underlättavardagen. Trots teknikens fördelar har det medfört ett stort antal risker och nackdelarvad gäller säkerheten vilket kommer att diskuteras i denna studie. Syftet med dennastudie är att undersöka medvetenheten kring säkerheten för dessa smarta enheterallmänt och i ett uppkopplat hem. Empirin i studien har samlats in genom en kvalitativundersökning där det genomförts semistrukturerade intervjuer med sju olikainformanter med olika erfarenheter och relationer till smarta enheter.Studiens resultat bidrar till en ökad förståelse av ämnet och validerar resultaten fråntidigare forskning. Vidare analyserades empirin och resulterade i att ett antal faktoreridentifierades gällande de smarta enheterna utifrån ett säkerhetsperspektiv.Respondenterna fick svara på frågor angående deras medvetenhet gällande dessa smartaenheter och medvetenhet kring de säkerhetsrisker som finns för dessa enheter.Den insamlade datan analyserades genom en tematisk analys vilket resulterade i fyrateman: säkerheten för produkterna, säkerhetsmedvetenhet, Lagar inom IoT ochskyddandet av data. De olika informanterna hade olika erfarenheter samt motiveringartill deras förmåga att kunna påverka enhetens säkerhet samt de åtgärder de valde attimplementera. Informanternas erfarenheter och förmåga att kunna påverka sina enheterlänkades till litteratur. Sammanfattningsvis är informanternas förmågor att kunnapåverka sina enheter begränsat till de grundläggande säkerhetsåtgärderna. Studiensresultat visar att användare inte kan påverka sina enheter särskilt mycket för att ökasäkerheten för sina enheter vilket i sin tur leder till att enheter som har säkerhetsluckorleder till att användare lättare kan falla offer för attacker.Denna studie bidrar till att vidga förståelsen och fylla kunskapsluckorna gällandesäkerhetsrisker för smarta enheter bland användare. Genom att undersöka dessa frågorkan man arbeta mot en förbättring av säkerhetstänket och medvetenheten för att minskariskerna som dessa uppkopplade enheter kommer med, både för enskilda användare ochföretag / The popularity of Internet of Things (IoT) devices is something that has recentlyincreased. These devices refer to smart devices connected to the Internet that are usedby both private individuals and companies. One area of use for these smart devices iswithin the home, which aims to provide more convenience to users and make everydaylife easier. Despite the technology's advantages, it has entailed a large number of risksand disadvantages in terms of safety, which will be discussed in this study. The purposeof this study is to investigate the awareness surrounding the security of these smartdevices in general and in a connected home. The experience in the study has beencollected through a qualitative survey where semi-structured interviews were conductedwith seven different informants with different experiences and relationships to smartdevices.The results of the study contribute to an increased understanding of the subject andvalidate the results from previous research. Furthermore, the empirical evidence wasanalyzed and resulted in a number of factors being identified regarding the smartdevices from a security perspective. Respondents were asked to answer questionsregarding their awareness of these smart devices and awareness of the security risksassociated with these devices.The collected data was analyzed through a thematic analysis which gave four themes:the security of the products, security awareness, laws in IoT and the protection of data.The different informants had different experiences and motivations for their ability toinfluence the unit's safety and the measures they chose to implement. The informants'experiences and ability to influence their units were linked to literature. In summary, theinformants' abilities to influence their units are limited to the basic security measures.The results of the study show that users cannot influence their devices very much toincrease the security of their devices, which in turn leads to devices that have securityholes leading to users falling prey to attacks more easily.This study contributes to broadening the understanding and filling the knowledge gapsregarding security risks of smart devices among users. By examining these issues, onecan work towards an improvement in security thinking and awareness to reduce therisks that these connected devices bring, both for individual users and companies

La vérification à l’exécution est une méthode formelle légère qui consiste à vérifier qu’une exécution d’un système est correcte par rapport à une spécification. La spécification exprime de manière rigoureuse le comportement attendu du système, en utilisant généralement des formalismes basés sur la logique ou les machines à états finies. Alors que la verification a l’éxecution traite les systèmes monolithiques de manière exhaustive, plusieurs difficultés se présentent lors de l’application des techniques existantes à des systèmes décentralisés, c-à-d. des systèmes avec plusieurs composants sans point d’observation central. Dans cette thèse, nous nous concentrons particulièrement sur trois problèmes : la gestion de l’information partielle, la séparation du déploiement des moniteurs du processus de vérification lui-même et le raisonnement sur la décentralisation de manière modulaire et hiérarchique. Nous nous concentrons sur la notion de spécification décentralisée dans laquelle plusieurs spécifications sont fournies pour des parties distinctes du système. Utiliser une spécification décentralisée a divers avantages tels que permettre une synthèse de moniteurs à partir des spécifications complexes et la possibilité de modulariser les spécifications. Nous présentons également un algorithme de vérification général pour les spécifications décentralisées et une structure de données pour représenter l’exécution d’un automate avec observations partielles. Nous développons l’outil THEMIS, qui fournit une plateforme pour concevoir des algorithmes de vérification décentralisée, des mesures pour les algorithmes, une simulation et des expérimentations reproductibles pour mieux comprendre les algorithmes.Nous illustrons notre approche avec diverses applications. Premièrement, nous utilisons des spécifications décentralisées pour munir une analyse de pire cas, adapter, comparer et simuler trois algorithmes de vérification décentralisée existants dans deux scénarios: l’interface graphique Chiron, et des traces et spécifications générées aléatoirement. Deuxièmement, nous utilisons des spécifications décentralisées pour vérifier diverses propriétés dans un appartement intelligent: correction du comportement des capteurs de l’appartement, détection d’activité spécifiques de l’utilisateur (Activities of Daily Living, ADL) et composition de spécifications des deux catégories précédentes.En outre, nous élaborons sur l’utilisation de spécifications décentralisées pour la vérification décentralisée pendant l’exécution de programmes parallélisés. Nous commençons par discuter les limitations des approches et des outils existants lorsque les difficultés introduites par le parallélisme sont rencontrées. Nous détaillons la description de zones de parallélisme d’une unique exécution d’un programme et décrivons une approche générale qui permet de réutiliser des techniques de verification à l’éxécution existantes. Dans notre configuration, les moniteurs sont déployés dans des fils d’exécution spécifiques et échangent de l’information uniquement lorsque des points de synchronisation définis par le programme lui-même sont atteints. En utilisant les points de synchronisation existants, notre approche réduit les interférences et surcoûts résultant de la synchronisation, au prix d’un retard pour déterminer le verdict. / Runtime Verification (RV) is a lightweight formal method which consists in verifying that a run of a system is correct with respect to a specification. The specification formalizes the behavior of the system typically using logics or finite-state machines. While RV comprehensively deals with monolithic systems, multiple challenges are presented when scaling existing approaches to decentralized systems, that is, systems with multiple components with no central observation point. We focus particularly on three challenges: managing partial information, separating monitor deployment from the monitoring process itself, and reasoning about decentralization in a modular and hierarchical way. We present the notion of a decentralized specification wherein multiple specifications are provided for separate parts of the system. Decentralized specifications provide various advantages such as modularity, and allowing for realistic monitor synthesis of the specifications. We also present a general monitoring algorithm for decentralized specifications, and a general datastructure to encode automata execution with partial observations. We develop the THEMIS tool, which provides a platform for designing decentralized monitoring algorithms, metrics for algorithms, and simulation to better understand the algorithms, and design reproducible experiments.We illustrate the approach with two applications. First, we use decentralized specifications to perform a worst-case analysis, adapt, compare, and simulate three existing decentralized monitoring algorithms on both a real example of a user interface, and randomly generated traces and specifications. Second, we use decentralized specifications to check various specifications in a smart apartment: behavioral correctness of the apartment sensors, detection of specific user activities (known as activities of daily living), and composition of properties of the previous types.Furthermore, we elaborate on utilizing decentralized specifications for the decentralized online monitoring of multithreadedprograms. We first expand on the limitations of existing tools and approaches when meeting the challenges introduced by concurrency and ensure that concurrency needs to be taken into account by considering partial orders in traces. We detail the description of such concurrency areas in a single program execution, and provide a general approach which allows re-using existing RV techniques. In our setting, monitors are deployed within specific threads, and only exchange information upon reaching synchronization regions defined by the program itself. By using the existing synchronization, we reduce additional overhead and interference to synchronize at the cost of adding a delay to determine the verdict.

In this thesis, research efforts are dedicated towards the development of practical adaptable techniques to be used in Smart Homes and Buildings, with the aim to improve energy management and conservation, while enhancing the learning capabilities of Programmable Communicating Thermostats (PCT) – “transforming” them into smart adaptable devices, i.e., “Smart Thermostats”. An Adaptable Hybrid Intelligent System utilizing Wireless Sensor Network (WSN) and Artificial Intelligence (AI) techniques is presented, based on which, a novel Adaptive Learning System (ALS) model utilizing WSN, a rule-based system and Adaptive Resonance Theory (ART) concepts is proposed. The main goal of the ALS is to adapt to the occupant’s pattern and/or schedule changes by providing comfort, while not ignoring the energy conservation aspect. The proposed ALS analytical model is a technique which enables PCTs to learn and adapt to user input pattern changes and/or other parameters of interest. A new algorithm for finding the global maximum in a predefined interval within a two dimensional space is proposed. The proposed algorithm is a synergy of reward/punish concepts from the reinforcement learning (RL) and agent-based technique, for use in small-scale embedded systems with limited memory and/or processing power, such as the wireless sensor/actuator nodes. An application is implemented to observe the algorithm at work and to demonstrate its main features. It was observed that the “RL and Agent-based Search”, versus the “RL only” technique, yielded better performance results with respect to the number of iterations and function evaluations needed to find the global maximum. Furthermore, a “House Simulator” is developed as a tool to simulate house heating/cooling systems and to assist in the practical implementation of the ALS model under different scenarios. The main building blocks of the simulator are the “House Simulator”, the “Smart Thermostat”, and a placeholder for the “Adaptive Learning Models”. As a result, a novel adaptive learning algorithm, “Observe, Learn and Adapt” (OLA) is proposed and demonstrated, reflecting the main features of the ALS model. Its evaluation is achieved with the aid of the “House Simulator”. OLA, with the use of sensors and the application of the ALS model learning technique, captures the essence of an actual PCT reflecting a smart and adaptable device. The experimental performance results indicate adaptability and potential energy savings of the single in comparison to the zone controlled scenarios with the OLA capabilities being enabled.

In this thesis, research efforts are dedicated towards the development of practical adaptable techniques to be used in Smart Homes and Buildings, with the aim to improve energy management and conservation, while enhancing the learning capabilities of Programmable Communicating Thermostats (PCT) – “transforming” them into smart adaptable devices, i.e., “Smart Thermostats”. An Adaptable Hybrid Intelligent System utilizing Wireless Sensor Network (WSN) and Artificial Intelligence (AI) techniques is presented, based on which, a novel Adaptive Learning System (ALS) model utilizing WSN, a rule-based system and Adaptive Resonance Theory (ART) concepts is proposed. The main goal of the ALS is to adapt to the occupant’s pattern and/or schedule changes by providing comfort, while not ignoring the energy conservation aspect. The proposed ALS analytical model is a technique which enables PCTs to learn and adapt to user input pattern changes and/or other parameters of interest. A new algorithm for finding the global maximum in a predefined interval within a two dimensional space is proposed. The proposed algorithm is a synergy of reward/punish concepts from the reinforcement learning (RL) and agent-based technique, for use in small-scale embedded systems with limited memory and/or processing power, such as the wireless sensor/actuator nodes. An application is implemented to observe the algorithm at work and to demonstrate its main features. It was observed that the “RL and Agent-based Search”, versus the “RL only” technique, yielded better performance results with respect to the number of iterations and function evaluations needed to find the global maximum. Furthermore, a “House Simulator” is developed as a tool to simulate house heating/cooling systems and to assist in the practical implementation of the ALS model under different scenarios. The main building blocks of the simulator are the “House Simulator”, the “Smart Thermostat”, and a placeholder for the “Adaptive Learning Models”. As a result, a novel adaptive learning algorithm, “Observe, Learn and Adapt” (OLA) is proposed and demonstrated, reflecting the main features of the ALS model. Its evaluation is achieved with the aid of the “House Simulator”. OLA, with the use of sensors and the application of the ALS model learning technique, captures the essence of an actual PCT reflecting a smart and adaptable device. The experimental performance results indicate adaptability and potential energy savings of the single in comparison to the zone controlled scenarios with the OLA capabilities being enabled.

In this thesis, research efforts are dedicated towards the development of practical adaptable techniques to be used in Smart Homes and Buildings, with the aim to improve energy management and conservation, while enhancing the learning capabilities of Programmable Communicating Thermostats (PCT) – “transforming” them into smart adaptable devices, i.e., “Smart Thermostats”. An Adaptable Hybrid Intelligent System utilizing Wireless Sensor Network (WSN) and Artificial Intelligence (AI) techniques is presented, based on which, a novel Adaptive Learning System (ALS) model utilizing WSN, a rule-based system and Adaptive Resonance Theory (ART) concepts is proposed. The main goal of the ALS is to adapt to the occupant’s pattern and/or schedule changes by providing comfort, while not ignoring the energy conservation aspect. The proposed ALS analytical model is a technique which enables PCTs to learn and adapt to user input pattern changes and/or other parameters of interest. A new algorithm for finding the global maximum in a predefined interval within a two dimensional space is proposed. The proposed algorithm is a synergy of reward/punish concepts from the reinforcement learning (RL) and agent-based technique, for use in small-scale embedded systems with limited memory and/or processing power, such as the wireless sensor/actuator nodes. An application is implemented to observe the algorithm at work and to demonstrate its main features. It was observed that the “RL and Agent-based Search”, versus the “RL only” technique, yielded better performance results with respect to the number of iterations and function evaluations needed to find the global maximum. Furthermore, a “House Simulator” is developed as a tool to simulate house heating/cooling systems and to assist in the practical implementation of the ALS model under different scenarios. The main building blocks of the simulator are the “House Simulator”, the “Smart Thermostat”, and a placeholder for the “Adaptive Learning Models”. As a result, a novel adaptive learning algorithm, “Observe, Learn and Adapt” (OLA) is proposed and demonstrated, reflecting the main features of the ALS model. Its evaluation is achieved with the aid of the “House Simulator”. OLA, with the use of sensors and the application of the ALS model learning technique, captures the essence of an actual PCT reflecting a smart and adaptable device. The experimental performance results indicate adaptability and potential energy savings of the single in comparison to the zone controlled scenarios with the OLA capabilities being enabled.

[pt] Nas últimas décadas, vários fatores socioeconômicos têm despertado o interesse por pesquisas sobre casas inteligentes e sua relação com os moradores. Dentre esses fatores, destacam-se as mudanças climáticas e a preocupação crescente com questões ambientais; a longevidade da população mundial; o uso eficiente de recursos naturais e de energia; e novas formas de gerenciar a rotina diária e o lazer. Nesse contexto, o objetivo da dissertação é propor e demonstrar um modelo para geração e seleção de concepções de casas inteligentes baseadas em soluções tecnológicas inovadoras, utilizando-se a abordagem de Design Thinking e integrando-se diversas ferramentas de gestão da inovação, incluindo a combinação de métodos multicritério de apoio à decisão. A pesquisa pode ser considerada descritiva, metodológica e participativa. Quanto aos meios de investigação, a metodologia compreendeu pesquisa bibliográfica e documental; modelagem do processo de geração e seleção de concepções de casas inteligentes baseada em Design Thinking; estudo empírico para demonstração da aplicabilidade do modelo no âmbito de um projeto de casa inteligente no Brasil (Projeto NO.V.A.). Destacam-se como principais resultados desta pesquisa um modelo conceitual desenvolvido segundo uma perspectiva mais empática, que permite colocar as pessoas no centro do desenvolvimento dos projetos de casas inteligentes; e a melhor concepção de casa inteligente para o Projeto NO.V.A., proposta segundo a abordagem de Design Thinking, com suporte de uma plataforma digital cooperativa que envolveu cerca de 35 mil pessoas de vários países, e emprego do método híbrido AHP-TOPSIS. / [en] In recent decades, several socioeconomic factors have stimulated research on smart homes and their relationship with their residents. Highlights are climate changes and the growing concern with environmental issues; longevity of the world s population; search for more efficient the use of natural resources and energy; and new habits and ways of managing daily routine and leisure. In this context, the objective of this dissertation is to propose and demonstrate a model for generation and selection of conceptions based on innovative technological solutions, adopting the Design Thinking approach, and integrating several innovation management tools, including crowdsourcing and the combination of multicriteria decision support methods. This research can be classified as descriptive, methodological, and participative. From the bibliographic and documentary review on the central themes of the research, a model based on Design Thinking approach was developed to generate and select the best conceptions of smart homes based on innovative technological solutions. Aiming to demonstrate the applicability of this model in the context of a smart home project in Brazil (NO.V.A. Project), an empirical study was carried out during the applied phase of this research. The main contributions are a conceptual model developed from a more empathic perspective, which allows people to be at the center of the development of smart home projects, and the best smart home conception based on based on innovative technological solutions for NO.VA. Project, as the main output of a Design Thinking process, which included a digital collaborative platform and the use of several innovation management tools, such as a hybrid multiple criteria decision-making method (AHP-TOPSIS).

Teknikutvecklingen och digitaliseringen går fort framåt och har idag sträckt sig till det privatahemmet. Det smarta hemmet är en del av ett större fenomen som kallas Internet of Things(IoT). Enheterna inom IoT består av sensorer och datorer som kan kommunicera medvarandra och skapa ett situationsanpassat beteende. Idén med smarta hem handlar om attanvända sig av olika smarta enheter inom hemmet, som är uppkopplade till ett gemensamtnätverk. Smarta hem bidrar med många bra funktioner där individen kan skapa en bekväm,säker och hållbar vardag. Förutom att underlätta i vardagen för individer kommer dessasmarta enheter med ett antal risker. Ju fler enheter som kopplas upp på ett nätverk destoenklare är det för en obehörig person att komma åt en annan individs privata information. Det samlas in mycket data från de smarta enheterna vilket kan möjliggöra detaljeradkartläggning av användaren. Det är svårt att veta vem som får tillgång till den privatainformationen om användaren vilket bidrar till att det blir svårt för individen att vara anonymoch skydda sig. Syftet med studien är att utveckla kunskap om vilken medvetenhet som finnshos individen kring riskerna vid användning av smarta enheter i hemmet, då det finnsförhållandevis lite forskning inom ämnet. En effekt av att individen blir mer medveten kanleda till att hen tar mer ansvar och därmed skyddar sig mer mot eventuella IT-brott. Utgångspunkten för studien har varit att samla in tidigare forskning och litteratur samt attutföra en kvantitativ enkätundersökning. Litteraturstudien ligger till grund till både tidigareforskning och det teoretiska ramverket. Med hjälp av litteraturstudien har enkätfrågorutformats för att kunna besvara studiens frågeställning. Enkätundersökningen gjordes via eninternetenkät som riktades till användarna av smarta enheter i hemmet. Utifrån insamlatmaterial och empiri kunde ett resultat presenteras och en analys utföras. Med hjälp av fyraolika teman har en slutsats dragits om vilken medvetenhet som finns hos individen kringriskerna vid användningen av smarta enheter i hemmet. / The development of technology and digitization are moving fast forward and have nowextended to the private homes. The smart home is part of a larger phenomenon called Internetof Things (IoT). The IoT devices consist of sensors and computers that can communicate witheach other and create a situational behavior. The idea of smart homes is about using differentsmart devices within the home, which are connected to a shared network. Smart homesprovides with many great functions where the individuals can create a comfortable, safe andsustainable everyday life. In addition to facilitating everyday life for individuals, these smartdevices come with a number of risks. The more devices connected to the Internet, the easier itgets for an unauthorized person to access another person's private information. The smartdevices collect a lot of data, which enables for detailed mapping of the user. It's hard to knowwho gets access to the private data about the user, which makes it difficult for the individualto be anonymous and protect himself. The purpose of the study is to develop knowledge aboutthe awareness of the individual about the risks associated with the use of smart devices athome, as there is relatively little research on the subject. An effect of becoming more aware ofthe risks, can lead to more responsibility taken by the individual to protect itself againstpossible IT crimes. The starting point of the study has been to collect prior research and literature and to conducta quantitative survey. The literature study forms the basis for the previous research and thetheoretical framework. With help from the literature, survey questions have been formulatedto answer the research question. The survey was conducted through an internet survey aimedto users of smart devices at home. Based on collected material and empirical data, a resultcould be presented and an analysis performed. With the help of four different themes, aconclusion has been drawn about the awareness of the individual about the risks associatedwith the use of smart devices in the home.Keywords: