• Internet of things DDoS mitigation. Preventing DDoS attacks using learning algorithms on limited hardware 

      Munch-Ellingsen, Peter (Master thesis; Mastergradsoppgave, 2017-10-01)
      DDoS attacks are becoming more and more common, and threatens the current infrastructure of the internet. Cheap new IoT devices have led to a lot of new devices that are poorly secured and can easily be compromised and used for such nefarious purposes. While there are many attemps at solving this problem this thesis looks at a solution which could be applied to typical home router. This would stop ...
    • Internet of Things Mini Display-based Motivation, Notification and Warning System for Groups of People with Diabetes Type 1 

      Mikalsen, Martin Haugen (Master thesis; Mastergradsoppgave, 2018-06-01)
      Diabetes is a complex and time-consuming affair for the people that are afflicted by the disease. A strict self-management regime needs to be followed to avoid short- and long-term complications, which requires a great deal of motivation and support from others. Low- or high-blood glucose levels can cause short- and long-term consequences, ranging from headaches and thirst to coma. In the last few ...
    • Investigating and developing efficient federated learning for air pollution monitoring 

      Reinnes, Jørgen (Master thesis; Mastergradsoppgave, 2022-06-01)
      Location-based data may be considered highly private; as such, handling location-based data requires that it cannot be used to track a user. In a network of multiple edge devices that each collect data, training a machine learning model would typically involve transmitting the data securely to a central server which requires strict privacy rules. Federated learning solves the privacy problem ...
    • Investigating the latency cost of statistical learning of a Gaussian mixture simulating on a convolutional density network with adaptive batch size technique for background modeling 

      Phan, Hung Ngoc (Master thesis; Mastergradsoppgave, 2021-05-31)
      Background modeling is a promising field of study in video analysis, with a wide range of applications in video surveillance. Deep neural networks have proliferated in recent years as a result of effective learning-based approaches to motion analysis. However, these strategies only provide a partial description of the observed scenes' insufficient properties since they use a single-valued mapping ...
    • Investigating the security issues surrounding usage of Ephemeral data within Android environments 

      Høgset, Erlend Skog (Master thesis; Mastergradsoppgave, 2015-08-27)
      With mobile devices managing more and more of our personal data, for many it has become a ubiquitous resource. This is also true in the workplace where they are instituting Bring Your Own Device practices. While this saves the enterprise money in terms of equipment, it also increases the diversity of devices brought to work. This presents security problems as corporate data received and transmitted ...
    • Javza : a runtime supporting dynamic app configuration and integration in asymmetric systems 

      Gjerdrum, Anders Tungeland (Master thesis; Mastergradsoppgave, 2012-07-06)
      The advent of cloud computing alongside with pervasive form factors such as smart devices, introduces a new meaning to asymmetric system models. These new clients act as a presentational layer alleviating much of the computational and storage concerns to cloud services. The application platforms associated with these creates new opportunities for third party developers to provide domain specific ...
    • Kontekstsensitiv tilpasning av interaksjonsmodi mot mobile terminaler 

      Henriksen, André (Master thesis; Mastergradsoppgave, 2003-12-15)
      Denne oppgaven ser på mulighetene for å bruke kontekstinformasjon for å kunne tilpasse interaksjonsmodi mot mobile terminaler, spesielt mobiltelefoner. Hensikten er å illustrere hvordan brukere av et transportselskap automatisk kan motta beskjeder om forsinkelser på bussavganger han/hun er interessert i, samt andre beskjeder fra transportselskapet. Brukere skal altså slippe å kjenne til vanlige ...
    • Latency Optimized Microservice Architecture for Privacy Preserving Computing 

      Magnussen, Nikolai Åsen (Master thesis; Mastergradsoppgave, 2019-06-01)
      Recent developments in microservices architecture and building have lead to the advent of unikernels, a specialized operating system kernel coupled with, and executing only, a single application. This thesis presents PPCE a distributed system utilising a microservices architecture based on unikernels, created to enable privacy-preserving computing for users, classes of users, and more importantly; ...
    • Láhttu-A system for Retrieval and Consolidation of Personsal Data from Activity-Tracking Web Services. 

      Johansen, Ida Jaklin (Master thesis; Mastergradsoppgave, 2014-06-01)
      In recent years, self-tracking and recording ourself has become increasingly popular. A large ecosystem of interconnected online activity-tracking web services that record, store, analyse, and visualize personal data is evolving to provide useful services to end-users. However, these personal data can be scattered over multiple web-services, which makes it difficult for an individual to manage and ...
    • Leveraging Mobile UX Principles for Nudges In Green Transportation 

      Solbakk, Mellet Ivvar (Master thesis; Mastergradsoppgave, 2020-08-17)
      Smart nudging has a goal to try to nudge users, these nudges are personally tailored for their specific situation and needs. In this thesis we will combine knowledge from Nudging and principles from user interface design and user experience research to increase the likelihood of the smart nudges to be as effective as possible.
    • Limelight: Real-Time Detection of Pump-and-Dump Events on Cryptocurrency Exchanges Using Deep Learning 

      Nilsen, Andreas Isnes (Master thesis; Mastergradsoppgave, 2019-06-01)
      Following the birth of cryptocurrencies back in 2008, internet investment platforms called exchanges were created to constellate these cryptocurrencies. Allowing investors to sell and buy assets equitable and agile over a single interface. Exchanges now have become popular and carry out over 99% of all daily transactions, totaling hundreds of millions of dollars. Despite that exchanges handling ...
    • Local-First Relation Views 

      Elvenes, Lars Marius (Mastergradsoppgave; Master thesis, 2023-06-01)
      In today's digital landscape where cloud-oriented approaches are widespread and an integral part, local-first software emerges to offer an alternative. It addresses concerns such as data control, privacy, offline capabilities, collaboration, and performance. The open-source relational database engine SQLite is a fitting candidate for local-first software as it is not reliant on network connectivity. ...
    • M-CDS: Mobile Carbohydrate Delivery System 

      Puvanendran, Neethan (Mastergradsoppgave; Master thesis, 2023-06-20)
      When patients with type 1 diabetes (T1D) are physically active, they encounter an issue with keeping their blood glucose (BG) stable. Generally, their blood glucose level (BGL) will drop, causing hypoglycaemia which can have fatal consequences. The simple solution is to consume carbohydrates in the form of liquids or food, but during physical activities, it can be difficult to follow their BGL at ...
    • Making your devices speak. Integration between Amazon Alexa and the Managed IoT Cloud 

      Holden, Thomas (Master thesis; Mastergradsoppgave, 2018-06-01)
      Speech recognition and communication between humans and machines are increasingly popular today. Several companies already have products in this market segment. The Managed IoT Cloud (MIC) platform is a complete ecosystem for management of Internet of Things (IOT) devices, data storage and analysis of data. However, the platform lacks an integration with a personal assistant to introduces ...
    • Mearka - Architecting and evaluation of a Sports Video Tagging Software Toolkit 

      Torkelsen, Alexander (Mastergradsoppgave; Master thesis, 2023-06-01)
      In the past decade, substantial advancements have been achieved in effectively utilizing video surveillance and associated analysis technologies within the realm of sports. This progress has been particularly noteworthy in elite sports, where the exploitation of athletes’ digital footprints for sports analytics has emerged as a catalytic factor, ushering in a paradigm shift in comprehending and ...
    • MELT: The multidimensional key-value store performance evaluation framework. Melt: memory, energy, latency and throughput 

      Blomli-Edvardsen, Tobias (Master thesis; Mastergradsoppgave, 2017-06-02)
      1 Abstract Key-value stores have a very large variation in their design and implementation, while still adhering to the key-value abstraction. The available generic benchmarks cannot truly represent the performance a key-value store will have with a specific application, unless your application happens to have the exact same configuration and workloads as the benchmark. Moreover, most benchmarks ...
    • Metrix: Real-time Analysis of Physical Performance Parameters in Elite Soccer 

      Andreassen, Kim Hartvedt (Master thesis; Mastergradsoppgave, 2018-06-01)
      In recent years, technology has had a vast impact on the sports industry, particularly in soccer. Elite soccer teams utilize digital information systems to quantify performance metrics, in order to assess their strengths and weaknesses. Applied methods mostly rely on post-game analytics, allowing coaches to review games in retrospect and implement corrections to their team thereafter. However, this ...
    • Multi-user application for recording physical activity on exercise bicycles for people with intellectual disabilities 

      Nilsen, Asgeir (Master thesis; Mastergradsoppgave, 2020-06-30)
      This thesis extends research into the application of an exergame for individuals with intellectual disabilities. Individuals with intellectual disabilities have a more sedentary lifestyle than the general population, and the need for regular physical activity is high. The World Health Organization recommends 150 minutes of physical activity each week. Exergames can contain elements that excite ...
    • Nexans Tracking System. An indoor positioning system using Bluetooth Low Energy 

      Holm, Ragnhild Kosmo (Master thesis; Mastergradsoppgave, 2015-06-01)
      Nexans Rognan is a cable manufacturer located in Nordland County. Each new cable order have a set of requirements provided by the customer. The cable specifications change in terms of characteristics of fibre optical elements, type and quality of cable armouring and dimension and amounts of electrical conductors. Due to the variety in different cables produced, they also need a wide array of ...
    • Non-Opportunistic Data Transfer for IoT and Cyber-Physical Systems with Mostly Sleeping Nodes 

      Hellemo, Isak Østrem (Mastergradsoppgave; Master thesis, 2022-07-12)
      Sensor networks are frequently used to monitor our environment. From monitoring the habitat of seabirds [1], to the structural integrity of bridges [2]. They can also be used to monitor the arctic tundra to help us monitor climate change. The arctic tundra does however place additional requirements on a monitoring system. Low access to energy sources, human intervention, and networks to transfer ...