Browsing Institutt for informasjonssikkerhet og kommunikasjonsteknologi by Title
Now showing items 1776-1795 of 2578
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Privacy in the Norwegian Automatic Contact Tracing App Smittestopp
(Master thesis, 2021)I løpet av den pågående COVID-19-pandemien har automatiske smittesporingssystem blitt brukt for å spore mulige smittede individer mer effektivt. Disse systemene har også ført til nye bekymringer, spesielt knyttet til ... -
Privacy Leakage in Fitness Equipment Communication
(Master thesis, 2018)The technology is constantly evolving with use of personal data as a central component of new applications and services. At the same time, physical activity has become an important part of the modern society. This has led ... -
Privacy Management and Preservation in the Era of Targeted Advertising
(Master thesis, 2022)Livet til internettbrukere blir daglig påvirket av datainnsamling og målrettet reklame, men dette er fortsatt noe de fleste har lite kunnskap og kontroll over. Sett påvirkningskraften målrettet reklame kan ha over ... -
Privacy Policies for Location-Aware Social Network Services
(Master thesis, 2011)The combination of location-awareness and social networks has introduced systems containing an increased amount of protection-worthy personal information, creating the need for improved privacy control from a user point ... -
Privacy preserving data sharing with partially-trusted cloud services
(Master thesis, 2023)I dag har personlig informasjon blitt en ressurs som det kan tjenes penger på, og datadeling har nesten blitt en nødvendighet innen felt som vitenskapelig forskning, e-helse, e-handel og digital virksomhet. Selv om det er ... -
Privacy Preserving Passive DNS
(Peer reviewed; Journal article, 2020)The Domain Name System (DNS) was created to resolve the IP addresses of web servers to easily remembered names. When it was initially created, security was not a major concern; nowadays, this lack of inherent security and ... -
Privacy services for mobile devices
(Master thesis, 2011)Recent studies have shown that privacy on mobile devices is not properly ensured. Due to a heavy increase of smartphones in the market, in addition to a variety of third-party applications, a demand for improved solutions ... -
Privacy vs. Security: Soft Biometrics in Distorted Keystroke Dynamics Data
(Master thesis, 2023)Det digitale landskapet utvikles raskt, noe som gjør bevaring av personvern og sikkerhet til en kompleks oppgave. Å utnytte Keystroke Dynamics for å forbedre autentisering og identifikasjon av individer har et stort potensial ... -
Privacy, trust and incentives in e-commerce on a Social Credit System (SCS)
(Master thesis, 2019)Et sosialt kredittsystem definerer et kinesisk initiativ for å bedre integriteten i regjering, næringsliv og samfunn. Det baserer seg på et omfattende juridisk og regulatorisk system som består av kredittinformasjon- ... -
Privacy-Preserving Continuous Authentication
(Doctoral theses at NTNU;2024:83, Doctoral thesis, 2024)Digital security uses traditional authentication mechanisms to verify the identity of an entity or a user who seeks access to a system, service, or application. Such authentication mechanisms verify user identity only at ... -
Privacy-preserving continuous authentication using behavioral biometrics
(Peer reviewed; Journal article, 2023)Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which ... -
A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric
(Peer reviewed; Journal article, 2020)Electronic health record (EHR) management systems require the adoption of effective technologies when health information is being exchanged. Current management approaches often face risks that may expose medical record ... -
Privacy-Preserving Indexing of Iris-Codes with Cancelable Bloom Filter-based Search Structures
(Chapter, 2018)Protecting the privacy of the enrolled subjects is an important requirement expected from biometric systems. In recent years, numerous template protection schemes have been proposed, but so far none of them have been shown ... -
Private and Accountable Storage in Distributed and Dynamic Environments
(Master thesis, 2004)NORSK: En av de store utfordringene i dagens teknologier for dstribuert prosessering er hvordan skal policy knyttet til data bevares når data flyttes omkring i distribuerte miljø. De fleste nåværende teknologier ser ut ... -
Private Blockchain system for international currency exchange and hedging
(Master thesis, 2018)This master thesis designs a system that utilizes Blockchain technology in international currency exchange transactions, thereby act as a currency exchange interface among private parties and companies, to enable faster ... -
Private Identification of Subscribers in Mobile Networks: Status and Challenges
(Journal article; Peer reviewed, 2019)The privacy of individuals in the context of mobile networks is crucial nowadays. Nevertheless, too few improvements have been made over the years to secure the privacy of subscribers. As a consequence, current generations ... -
Private Identification Schemes for 5G IoT Networks
(Master thesis, 2021)Oppgaven tar utgangspunkt i problemet med privat identifisering for Internet of Things (IoT) enheter når de skal brukes i det nye 5G mobilnettet. Løsningen i 5G for å holde identifiserbar informasjon hemmelig benytter seg ... -
Private Information Exposed by the Use of Robot Vacuum Cleaner in Smart Environments
(Master thesis, 2023)Robotstøvsugere er blitt populære IoT enheter og er mye brukt i ulike smarte miljøer. Integrasjon med andre IoT systemer skaper flere sikkerhets og personverns utfordringer ved bruken av disse. Produsenter har utviklet ... -
Private Information Inference Based on Network Traffic Patterns of Air Quality Monitors
(Master thesis, 2023)Den økende bruken av IoT enheter i hjem skaper sikkerhetsutfordringer om disse enhetene avslører privat informasjon om brukere og hjemmemiljøet. Luftkvalitetsmålere er en type IoT enheter som alltid er påskrudd for å måle ... -
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
(Peer reviewed; Journal article, 2021)Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. However, despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty ...