Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. Ideally, it is desired to make all the collected data features private but due to resource limitations, it may not always be possible. Making all the features private may cause overutilization of resources, which would in turn affect the performance of the whole system. In this thesis, we design and implement a system that is capable of finding the optimal set of data features to make private, given the device’s maximum resource constraints and the desired performance or accuracy of the system. Using the generalization techniques for data anonymization, we create user-defined injective privacy encoder functions to make each feature of the dataset private. Regardless of the resource availability, some data features are defined by the user as essential features to make private. All other data features that may pose privacy threat are termed as the non-essential features. We propose Dynamic Iterative Greedy Search (DIGS), a greedy search algorithm that takes the resource consumption for each non-essential feature as input and returns the most optimal set of non-essential features that can be private given the available resources. The most optimal set contains the features which consume the least resources. We evaluate our system on a Fitbit dataset containing 17 data features, 4 of which are essential private features for a given classification application. Our results show that we can provide 9 additional private features apart from the 4 essential features of the Fitbit dataset containing 1663 records. Furthermore, we can save 26:21% memory as compared to making all the features private. We also test our method on a larger dataset generated with Generative Adversarial Network (GAN). However, the chosen edge device, Raspberry Pi, is unable to cater to the scale of the large dataset due to insufficient resources. Our evaluations using 1=8th of the GAN dataset result in 3 extra private features with up to 62:74% memory savings as compared to all private data features. Maintaining privacy not only requires additional resources, but also has consequences on the performance of the designed applications. However, we discover that privacy encoding has a positive impact on the accuracy of the classification model for our chosen classification application. / Distribuerad databehandling möjliggör effektiv datalagring, bearbetning och hämtning men det medför säkerhets- och sekretessproblem. Sensorer är hörnstenen i de IoT-baserade rörledningarna, eftersom de ständigt samlar in data tills de kan analyseras på de centrala molnresurserna. Dessa sensornoder begränsas dock ofta av begränsade resurser. Helst är det önskvärt att göra alla insamlade datafunktioner privata, men på grund av resursbegränsningar kanske det inte alltid är möjligt. Att göra alla funktioner privata kan orsaka överutnyttjande av resurser, vilket i sin tur skulle påverka prestanda för hela systemet. I denna avhandling designar och implementerar vi ett system som kan hitta den optimala uppsättningen datafunktioner för att göra privata, med tanke på begränsningar av enhetsresurserna och systemets önskade prestanda eller noggrannhet. Med hjälp av generaliseringsteknikerna för data-anonymisering skapar vi användardefinierade injicerbara sekretess-kodningsfunktioner för att göra varje funktion i datasetet privat. Oavsett resurstillgänglighet definieras vissa datafunktioner av användaren som viktiga funktioner för att göra privat. Alla andra datafunktioner som kan utgöra ett integritetshot kallas de icke-väsentliga funktionerna. Vi föreslår Dynamic Iterative Greedy Search (DIGS), en girig sökalgoritm som tar resursförbrukningen för varje icke-väsentlig funktion som inmatning och ger den mest optimala uppsättningen icke-väsentliga funktioner som kan vara privata med tanke på tillgängliga resurser. Den mest optimala uppsättningen innehåller de funktioner som förbrukar minst resurser. Vi utvärderar vårt system på en Fitbit-dataset som innehåller 17 datafunktioner, varav 4 är viktiga privata funktioner för en viss klassificeringsapplikation. Våra resultat visar att vi kan erbjuda ytterligare 9 privata funktioner förutom de 4 viktiga funktionerna i Fitbit-datasetet som innehåller 1663 poster. Dessutom kan vi spara 26; 21% minne jämfört med att göra alla funktioner privata. Vi testar också vår metod på en större dataset som genereras med Generative Adversarial Network (GAN). Den valda kantenheten, Raspberry Pi, kan dock inte tillgodose storleken på den stora datasetet på grund av otillräckliga resurser. Våra utvärderingar med 1=8th av GAN-datasetet resulterar i 3 extra privata funktioner med upp till 62; 74% minnesbesparingar jämfört med alla privata datafunktioner. Att upprätthålla integritet kräver inte bara ytterligare resurser utan har också konsekvenser för de designade applikationernas prestanda. Vi upptäcker dock att integritetskodning har en positiv inverkan på noggrannheten i klassificeringsmodellen för vår valda klassificeringsapplikation.

This qualitative study evaluates what the Internet of Things (IoT) can bring to create benefits in municipal housing companies. Since 2014, there has been a guide from the Swedish Agency for Digital Administration regarding benefits realization that describes how organizations can work to implement IT projects and realize target images, by focusing on the underlying benefits. The issues that this study focuses on are benefits and expectations from completed IoT projects. To answer these questions, five interviews and a pilot study, based on a framework for benefit realization, were conducted with people representing a large number of municipalities in Sweden. The respondents have had good insight into how the operations work in the IoT technology area. The main conclusion of the study is that the work with benefits, has a small role in the organizations consulted. Many of the obstacles identified in the study show that active management is required to change the culture around IoT projects and that the business focuses on the benefits behind the IoT solutions rather than the artifacts themselves. Previous research has shown that IoT is a disruptive innovation, which requires new thinking and other types of skills. Most organizations have built up their own infrastructures with pre-packaged services that have been offered to the businesses in order to create interest and let the businesses themselves discover the benefits that the technology can bring. / I den här kvalitativa studien utvärderas vad Internet of Things (IoT) kan tillföra för att skapa nytta i kommunala bostadsbolag. Sedan 2014 finns det en guide från Myndigheten för digital förvaltning i nyttorealisering, som är ett stöd i hur organisationer kan arbeta för att genomföra IT-projekt och realisera målbilder, genom att fokusera på den bakomliggande nyttan. De frågor som denna studie fokuserar på är nyttor och förväntningar från genomförda IoT-projekt. För att besvara dessa frågor har fem intervjuer och en pilotstudie, utifrån ett ramverk för nyttorealisering, genomförts med personer som representerar ett stort antal kommuner i Sverige. Respondenterna har haft god insikt i hur verksamheterna arbetar inom teknikområdet IoT.   Studiens främsta slutsats är att arbetet med nyttor, har en liten roll i de organisationer som tillfrågats. Många av de hinder som identifierats i studien visar på att det krävs en aktiv styrning för att förändra dels kulturen kring IoT-projekt och dels att verksamheten fokuserar på nyttan bakom IoT-lösningarna snarare än själva artefakterna. Tidigare forskning har visat att IoT är en disruptiv innovation vilket kräver nytänkande och andra typer av kompetenser. De flesta organisationer har byggt upp egna infrastrukturer med färdigpaketerade tjänster som erbjudits verksamheterna i syfte att skapa intresse och låta verksamheterna själva upptäcka de nyttor som tekniken kan tillföra.

Internet of things är idag en utveckling som starkt går framåt för att göra samhället mer tekniskt styrt, modernt och för att underlätta för människor. Det finns många branscher och arbetsområden för denna teknik och hissbranschen är en utav dessa. I denna rapport utreds de fördelar som finns med Internet of things inom hissövervakning. Företaget Safeline Sweden AB har tagit fram en produkt för att underlätta övervakningen av hissar på avstånd. En utredning av denna produkt och dess kostnadsfördelar togs fram, för att sedan kunna ta fram en affärsmodell för Safelines nya produkt IMS. Genom intervjuer med potentiella kunder kunde information tas fram angående dagens läge inställningen till ny teknik. Den informationen som kom fram under dessa intervjuer användes för att skapa en affärsmodell som ska användas som grund för en affärplan för Safeline.En affärsmodell skapades för Safeline Sweden AB och deras nya produkt IMS. I affärmodellen framgår det bland annat hur företaget bör lansera den nya produkten, hur kundrelationer ska skapas, utvecklas och behållas. Utifrån intervjuerna valdes det att IMS bör säljas som en systemlösning då det anses vara det bästa för att det ska vara attraktivt och prisvärt för kunderna. / Internet of things is today a development that is strongly moving forward to make society more con-trolled by technology, modern and it will be easier for many people. This technology can be used in many diffrent industries and work areas, such as elevator monitoring. This report evaluates the benefits with Internet of things within elevator monitoring. The company Safeline Sweden AB has developed a product that will make it easier to monitor elevators from a distance. An investigation of this product has been done and what their advantages were. After that, a buisness model was formed for Safelines new product IMS. By interviewing potential customers, the information about the sitaution today and the approach for new technology was discovered. The information from the interviews was then used to create a good and sustainable business model for Safeline.A buisness model was created for Safeline Sweden AB and the produkt IMS. The business model describes how the company should launch the new product, how the customer relations should be created, developed and retained. The information from the interviews made it clear that the IMS should be sold as a system solution because it is considered to be more attractive and be more valu-able for the customers.

With an increasing number of people currently living in urban areas, many cities around the globe are faced with issues such as increased pollution and traffic congestion. In an effort to tackle such challenges, governments and city councils are formulating new and innovative strategies. The integration of ICT with these strategies creates the concept of smart cities. The Internet of Things (IoT) is a key driver for smart city initiatives, making it necessary to have an IT infrastructure that can take advantage of the many benefits that IoT can provide. The Cloudlet is a new infrastructure model that offers cloud-computing capabilities at the edge of the mobile network. This environment is characterized by low latency and high bandwidth, constituting a novel ecosystem where network operators can open their network edge to third parties, allowing them to flexibly and rapidly deploy innovative applications and services towards mobile subscribers. In this thesis, we present a cloudlet architecture that leverages edge computing to provide a platform for IoT devices on top of which many smart city applications can be deployed. We first provide an overview of existing challenges and requirements in IoT systems development. Next, we analyse existing cloudlet solutions. Finally, we present our cloudlet architecture for IoT, including design and a prototype solution. For our cloudlet prototype, we focused on a micro-scale emission model to calculate the CO2 emissions per individual trip of a vehicle, and implemented the functionality that allows us to read CO2 data from CO2 sensors. The location data is obtained from an Android smartphone and is processed in the cloudlet. Finally, we conclude with a performance evaluation. / Med en befolkning som ökar i urbana områden, står många av världens städer inför utmaningar som ökande avgaser och trafikstockning. I ett försök att tackla sådana utmaningar, formulerar regeringar och stadsfullmäktige nya och innovativa strategier. Integrationen av ICT med dessa strategier bildar konceptet smart cities. Internet of Things (IoT) är en drivande faktor för smart city initiativ, vilket gör det nödvändigt för en IT infrastruktur som kan ta till vara på de många fördelar som IoT bidrar med. Cloudlet är en ny infrastrukturell modell som erbjuder datormolnskompetens i mobilnätverkets edge. Denna miljö karakteriseras av låg latens och hög bandbredd, utgörande ett nytt ekosystem där nätverksoperatörer kan hålla deras nätverks-edge öppet för utomstående, vilket tillåter att flexibelt och snabbt utveckla innovativa applikationer och tjänster för mobila subskribenter. I denna avhandling presenterar vi en cloudlet-arkitektur som framhäver edge computing, för att förse en plattform för IoT utrustning där många smart city applikationer kan utvecklas. Vi förser er först med en överblick av existerande utmaningar och krav i IoT systemutveckling. Sedan analyserar vi existerande cloudlet lösningar. Slutligen presenteras vår cloudlet arkitektur för IoT, inklusive design och en prototyplösning. För vår cloudlet-prototyp har vi fokuserat på en modell av mikroskala för att räkna ut CO2 emissioner per enskild resa med fordon, och implementerat en funktion som tillåter oss att läsa CO2 data från CO2 sensorer. Platsdata är inhämtad med hjälp av en Android smartphone och behandlas i cloudlet. Det hela sammanfattas med en prestandaevaluering.

This degree project is a design project that investigates digitization in the real estate industry and examines how far the real estate industry has come regarding the integration of new technology. The study highlights how companies work today and what problems and needs can be facilitated through digitization, more specifically the technology IoT (Internet Of Things). IoT makes it possible to connect different devices and sensors to the Internet in order to read information or control the functionality. The study is based on qualitative interviews which are analyzed through methods within User Experience (UX). The target group for the study is people who work with operation and maintenance of real estates. By creating personas and scenarios for the relevant target group, a greater understanding is created of how they work today along with what problems and needs they experience within their professional roles. Through methods within the User Interface (UI) a prototype is created which illustrates the information that is significant to the target group. The information from the properties is communicated via IoT devices. To enable communication between devices and prototype, the system Yggio is used, an API (Application Programming Interface) which is provided by the company Sensative. The study shows how a user-friendly interface can look, function and facilitate work in the real estate industry.

Internet of things (IoT) devices are becoming more prevalent. Due to a rapidly growing market of these appliances, improper security measures lead to an expanding range of attacks. There is a devoir of testing and securing these devices to contribute to a more sustainable society. This thesis has evaluated the security of an IoT-refrigerator by using ethical hacking, where a threat model was produced to identify vulnerabilities. Penetration tests were performed based on the threat model. The results from the penetration tests did not find any exploitable vulnerabilities. The conclusion from evaluating the security of this Samsung refrigerator can say the product is secure and contributes to a connected, secure, and sustainable society. / Internet of Things (IoT) enheter blir mer allmänt förekommande. På grund av en snabbt expanderande marknad av dessa apparater, har bristfälliga säkerhetsåtgärder resulterat till en mängd olika attacker. Det finns ett behov att testa dessa enheter for att bidra till ett mer säkert och hållbart samhälle. Denna avhandling har utvärderat säkerheten av ett IoT-kylskåp genom att producera en hot modell för att identifiera sårbarheter. Penetrationstester har utförts på enheten, baserade på hot modellen. Resultatet av penetrationstesterna hittade inga utnyttjningsbara sårbarheter. Slutsatsen från utvärderingen av säkerheten på Samsung-kylskåpet är att produkten är säker och bidrar till ett uppkopplat, säkert, och hållbart samhälle.

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Embedded systems have been present in our daily lives for some time, but trends clearly show a rise in inter-connectivity in such devices. This presents promising new applications and possibilities, but also opens up a lot attack surface. Our goal in this thesis is to find out how you can develop such interconnected embedded systems in a way that guarantees the three major components of information security: Confidentialy, Integrity and Availability. The main focus of security is networked security. In this thesis, a dual approach is taken: investigate the development process of building secure systems, and perform such an implementation. The artifacts produced as byproducts, the software itself, deployment instructions and lessons learned are all presented. It is shown that the process used helps businesses find a somewhat deterministic approach to security, have a higher level of confidence, helps justify the costs that security work entails and helps in seeing security as a business decision. Embedded systems were also shown to present unforeseen obstacles, such as how the lack of a motherboard battery clashes with X.509. In the end, a discussion is made about how far the system can guarantee information security, what problems still exist and what could be done to mitigate them.

<p>How LoRa/LoRaWAN performance evaluation in various environmental scenarios has been an active research topic for researchers, and there are many existing works carried out in outdoor scenarios. On top of that, it is necessary to study how LoRa/LoRaWAN performs in indoor environments as one of the fast-growing IoT network mechanisms. However, few studies are found to work on LoRa and LoRaWAN performance evaluation in indoor scenarios. This study focuses on a real-world experiment to understand how LoRa radio signals behave according to its physical layer parameter settings.</p><p>Data is collected through real-world experiments in a campus environment. The experiments for data sample collection were conducted in September 2021 in the Purdue Campus area in West Lafayette, Indiana, United States. LoRa transceivers with the SX1276 module are deployed operating in the 915MHz frequency band on both LoRa RX and TX end nodes in this study. The data transmitted between LoRa transmitter and LoRa receiver is packet-sized (17 bytes) messages. </p><p>For data collection, LoRa module is configured with 36 PHY parameter settings – three spreading factors (7, 9, 11), three signal bandwidths (125kHz, 250kHz, 500kHz), and four coding rates (4/5, 4/6, 4/7, 4/8). Test devices are the Dragino LoRa shields equipped with SX1276 radio modules in 915MHz frequency bands. The experiment is conducted at three different distances – 10m, 20m, and 40m – between LoRa TX node and LoRa RX node in indoor office buildings in Purdue University West Lafayette Campus, US.</p> <p>The RSSI and SNR are measured to characterize the link performance of Lora. The Received Signal Strength Indication (RSSI) and Signal-to-Noise Ratio (SNR) are two Physical level indicators available on wireless radio chips. In addition to them, the LoRa communication reliability is calculated based on the Received Packet Ratio (RPR) out of transmitted packets with different PHY settings at each distance.</p>

Increase in population and limited resources have created a growing demand for a futuristic living environment where technology enables the efficient utilization and management of resources in order to increase quality of life. One characteristic of such a society, which is often referred to as a ‘Smart City’, is that the people are well informed about their physiological being as well as the environment around them, which makes them better equipped to handle crisis situations. There is a need, therefore, to develop wireless sensors which can provide early warnings and feedback during calamities such as floods, fires, and industrial leaks, and provide remote health care facilities. For these situations, low-cost sensor nodes with small form factors are required. For this purpose, the use of a low-cost, mass manufacturing technique such as inkjet printing can be beneficial due to its digitally controlled additive nature of depositing material on a variety of substrates. Inkjet printing can permit economical use of material on cheap flexible substrates that allows for the development of miniaturized freeform electronics. This thesis describes how low-cost, inkjet-printed, wireless sensors have been developed for real-time monitoring applications. A 3D buoyant mobile wireless sensor node has been demonstrated that can provide early warnings as well as real-time data for flood monitoring. This disposable paper-based module can communicate while floating in water up to a distance of 50 m, regardless of its orientation in the water. Moreover, fully inkjet-printed sensors have been developed to monitor temperature, humidity and gas levels for wireless environmental monitoring. The sensors are integrated and packaged using 3D inkjet printing technology. Finally, in order to demonstrate the benefits of such wireless sensor systems for health care applications, a low-cost, wearable, wireless sensing system has been developed for chronic wound monitoring. The system called ‘Smart Bandage’ can provide early warnings and long term data for medical diagnoses. These demonstrations show that inkjet printing can enable the development of low-cost wireless sensors that can be dispersed in the environment or worn on the human body to enable an internet of things (IoT), which can facilitate better and safer living.