L'Internet des Objets a pour but d'intégrer des milliards d'objets connectés dans l'Internet.Du point de vue matériel, ces objets connectés sont de petits ordinateurs très bon marché, basés sur des micro-contrôleurs et des puces radio efficaces en énergie apparus récemment, couplés avec des capteurs et actionneur divers, le tout alimenté par une batterie de très petite taille.Ces objets connectés sont donc typiquement très contraints en ressources telles que CPU, mémoire et énergie.De plus, les liens radio à travers lesquels communiquent les objets connectés ont une capacité très limitée, sont souvent sujet à des taux de perte importants, et peuvent requérir du routage spontané entre objets connectés pour fournir la connectivité nécessaire.Ces caractéristiques posent des défis, d'une part en termes de logiciel embarqué s'exécutant sur les objets connectés, et d'autre part en termes de protocols réseaux utilisés par les objets connectés pour communiquer.En conséquence, de nouvelles méthodes et outils expérimentaux sont nécessaires pour étudier in vivo les réseaux formés d'objets connectés, de nouvelles plateformes logicielles sont nécessaires pour exploiter efficacement les objets connectés, et des protocoles de communication innovants sont nécessaire pour interconnecter ces objets.La présente thèse relève en partie ces défis, en introduisant des nouveaux outils facilitant l'utilisation de grands réseaux test interconnectant de nombreux objets connectés, un nouveau système d'exploitation (RIOT) utilisable sur une très grande variété d'objets connectés, ainsi que plusieurs nouveaux mécanismes utilisant le paradigme des réseaux centrés contenus pour améliorer significativement l'efficacité énergétique des protocoles de communication standards de l'Internet des Objets. / The Internet of Things aims to seamlessly integrate billions of so-called Smart Objects into traditional Internet infrastructures.From the hardware perspective, Smart Objects emerged when tiny, cheap computers became available, combining energy efficient micro-controllers, low-power radio transceivers, and sensors as well as actuators interacting with the physical world, often powered by batteries.Typically, Smart Objects are thus heavily constrained in terms of CPU, memory and energy resources.Furthermore, wireless links used for communication among Smart Objects or towards the Internet are often slow, subject to high packet loss, and may require spontaneous store-and-forward among peer Smart Objects to ensure connectivity.Such characteristics pose challenges, on one hand in terms of software running on Smart Objects, and on the other hand in terms of network protocols Smart Objects use to communicate.In consequence, novel evaluation methods and experimental tools are needed to study Smart Object networks in vivo, new software platforms are needed to efficiently operate Smart Objects, and innovative networking paradigms and protocols are required to interconnect Smart Objects.This thesis addresses these challenges by introducing new tools for large scale testbed-driven experimental research, a novel operating system (RIOT) applicable to a wide variety of connected Smart Objects, and several new mechanisms leveraging information-centric networking which significantly improve energy-efficiency compared to state-of-the-art network protocols in the Internet of Things.

Den äldre populationen blir allt fler samtidigt som utbildade vårdgivare inom äldreomsorg blir allt färre. Detta innebär en utmaning. Det relativt nya området Internet of Things (IoT) har slagit igenom stort den senaste tiden och kan erbjuda lösningar som verkar kunna avlasta hemtjänstarbetare, göra anhöriga tryggare och ge äldre en bättre livssituation. Denna studies syfte var att identifiera behoven hos de tre grupperna äldre som bor hemma, anhöriga till äldre som bor hemma och hemtjänstarbetare, samt att undersöka vilka lösningar som lämpar sig bäst och hur en designlösning skulle kunna se ut. Detta genomfördes med hjälp av enkäter och intervjuer med de tre grupperna vilket resulterade i sju personor för att illustrera behoven, en genomgång av en rad olika lösningar, samt ett designförslag i form av scenarion. Några av de slutsatser som kunde dras från studiens resultat var att IoT skulle kunna användas för att hjälpa många individer, att inställningen till specifika lösningar är väsensskild mellan individer och att man inom alla tre grupper önskar att tekniken inte ska ersätta mänsklig kontakt och samvaro. / The number of elderly people is steadily increasing, while the number of educated caregivers in elderly care decreases. This poses a challenge for the future. The relatively new area of the Internet of Things (IoT) has had a great break-through and can offer solutions that could ease the burden for home care workers, make relatives feel more secure and give the elderly a better life situation. The purpose of this study was to identify the needs of the three groups of elderly living at home, relatives of elderly living at home and home care workers, as well as to investigate which solutions are suitable and how a design solution could look like. This was done using surveys and interviews with the three groups, which resulted in seven personas to illustrate their needs, a review of a variety of solutions and a design proposal in the form of scenarios. Some of the conclusions that could be drawn from the results of the study were that IoT could be used to help many individuals, that the attitude to specific solutions is essentially different between individuals, and that there was an agreement in all three groups that technology should not replace human contact and fellowship.

abstract: Emerging from years of research and development, the Internet-of-Things (IoT) has finally paved its way into our daily lives. From smart home to Industry 4.0, IoT has been fundamentally transforming numerous domains with its unique superpower of interconnecting world-wide devices. However, the capability of IoT is largely constrained by the limited resources it can employ in various application scenarios, including computing power, network resource, dedicated hardware, etc. The situation is further exacerbated by the stringent quality-of-service (QoS) requirements of many IoT applications, such as delay, bandwidth, security, reliability, and more. This mismatch in resources and demands has greatly hindered the deployment and utilization of IoT services in many resource-intense and QoS-sensitive scenarios like autonomous driving and virtual reality. I believe that the resource issue in IoT will persist in the near future due to technological, economic and environmental factors. In this dissertation, I seek to address this issue by means of smart resource allocation. I propose mathematical models to formally describe various resource constraints and application scenarios in IoT. Based on these, I design smart resource allocation algorithms and protocols to maximize the system performance in face of resource restrictions. Different aspects are tackled, including networking, security, and economics of the entire IoT ecosystem. For different problems, different algorithmic solutions are devised, including optimal algorithms, provable approximation algorithms, and distributed protocols. The solutions are validated with rigorous theoretical analysis and/or extensive simulation experiments. / Dissertation/Thesis / Doctoral Dissertation Computer Science 2019

Indiana University-Purdue University Indianapolis (IUPUI) / Gait analysis plays a major role in treatment of osteoarthritis, knee or hip replacements, and musculoskeletal diseases. It is extensively used for injury rehabilitation and physical therapy for issues like Hemiplegia and Diplegia. It also provides us with the information to detect various improper gaits such as Parkinson's disease, Hemiplegic and diplegic gaits. Though there are many wearable and non-wearable methods to detect the improper gate performance, they are usually not user friendly and have restrictions. Most existing devices and systems can detect the gait but are very limited with regards of diagnosing them. The proposed method uses two A201 Force sensing resistors, accelerometer, and gyroscope to detect the gait and send diagnosed information of the possibility of the specified improper gaits via Bluetooth wireless communication system to the user's hand-held device or the desktop. The data received from the sensors was analyzed by the custom made micro-controller and is sent to the desktop or mobile device via Bluetooth module. The peak pressure values during a gait cycle were recorded and were used to indicate if the walk cycle of a person is normal or it has any abnormality. Future work: A magnetometer can be added to get more accurate results. More improper gaits can be detected by using two PCBs, one under each foot. Data can be sent to cloud and saved for future comparisons.

Indiana University-Purdue University Indianapolis (IUPUI) / In today’s world, the applications of Unmanned Aerial Vehicle (UAV) systems are leaping by extending their scope from military applications on to commercial and medical sectors as well. Owing to this commercialization, the need to append external hardware with UAV systems becomes inevitable. This external hardware could aid in enabling wireless data transfer between the UAV system and remote Wireless Sensor Networks (WSN) using low powered architecture like Thread, BLE (Bluetooth Low Energy). The data is being transmitted from the flight controller to the ground control station using a MAVlink (Micro Air Vehicle Link) protocol. But this radio transmission method is not secure, which may lead to data leakage problems. The ideal aim of this research is to address the issues of integrating different hardware with the flight controller of the UAV system using a light-weight protocol called UAVCAN (Unmanned Aerial Vehicle Controller Area Network). This would result in reduced wiring and would harness the problem of integrating multiple systems to UAV. At the same time, data security is addressed by deploying an encryption chip into the UAV system to encrypt the data transfer using ECC (Elliptic curve cryptography) and transmitting it to cloud platforms instead of radio transmission.

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第20028号 / 情博第623号 / 新制||情||108(附属図書館) / 33124 / 京都大学大学院情報学研究科社会情報学専攻 / (主査)教授 石田 亨, 教授 多々納 裕一, 教授 山本 章博 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

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During recent years, attacks on Internet of Things (IoT) devices have grown significantly. Cyber criminals have been using compromised IoT machines to attack others, which include critical internet infrastructure systems. Latest attacks increase the urgency for the information security research community to develop new strategies and tools to safeguard vulnerable devices at any level. Millions of intelligent things are now part of home-based networks that are usually disregarded by solutions platforms, but not by malicious entities.<br>Therefore, the following document presents a comprehensive framework that aims to secure home-based networks, but also corporate and service provider ones. The proposed solution utilizes first-hand information from different actors from different levels to create a decentralized privacy-aware Cyber Threat Information (CTI) sharing network, capable of automate network responses by relying on the secure properties of the blockchain powered by the Ethereum algorithms.

The Internet of Things (IoT) refers to the billions of physical devices linked to the Internet worldwide, integrating into various systems like healthcare, finance, and transportation. However, the rapid market expansion has led to software and hardware security shortcomings, leaving IoT devices vulnerable to cybercriminals. The security can be maintained and evaluated in different ways, nonetheless, this thesis focuses on investigating the process of a penetration test to identify vulnerabilities present in IoT devices. This paper investigates and compares existing penetration testing frameworks and proposes a generic testing framework for IoT. The results show that there is no standardized penetration testing framework to target IoT devices, as there are for networks and the web. By defining IoT-specific testing methodologies, our research shows that common IoT vulnerabilities could be identified and exploited.