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Senast publicerade
- Watch out for the mole: Can the obfuscation defences put in place by DAITA be circumvented for video fin gerprinting?(2026) Ridderland, Luna; Tagra, RiyaIn an ever increasingly digital world where user data has become a commodity to be analysed and sold, digital privacy is growing evermore important. Despite the widespread adoption of privacy solutions such as HTTPS and VPNs, information about network traffic is still leaked despite encryption. One such case being the adaptive bitrate protocols used for video streaming, such as MPEG-DASH. In the last years the severity of this vulnerability has become apparent. In a recent study by Björklund and Duvignau, it has proved feasible to use this leak to build an attack on a large scale, covering hundreds of thousands of videos across multiple video streaming providers, capable of identifying streamed video traffic with high accuracy. While there are certain tools that are used to mitigate these types of traffic analysis attacks, one such tool being Mullvad VPN’s DAITA, it has not previously been known to what extent it protects against analysis of video traffic. This thesis investigates to what extent DAITA protects against the attack, showing that during testing a protection of 78% was observed. This work has also looked at the underlying traffic patterns of video streaming using DAITA, and found that the degree of protection is likely dependent on DAITA’s internal system parameters and on what content is being streamed. Alternative identification logic is tested in an attempt to circumvent the added noise introduced by DAITA. Additionally the feasibility of reducing the size of the required dataset was investigated, which if possible would show that an attack utilizing this vulnerability would be cheaper to deploy on a large scale, making further defensive advancements an important matter.
- Composite flange design - Conceive a novel flange design focused on stiffness(2026) Bonetto , FilippoCarbon fibre reinforced polymers (CFRPs) are increasingly adopted in civil aviation due to their exceptional stiffness-to-weight and strength-to-weight characteristics. Among the structural elements that benefit from CFRP construction, T-joints represent a critical component, commonly employed to transfer loads between structural members while maintaining overall assembly integrity. This thesis investigates T-joints acting as internal flanges subjected to axial loading. This introduces a challenging stress state to the component. Specifically, high through-thickness interlaminar stresses can trigger delamination failure in the radii. The project is structured around three stages: a comparison of three geometric design iterations to identify the normalised stiffest design, the simulation of a physical test replicating real boundary conditions, and the manufacturing and testing of physical samples. In particular the manufacturing is carried out via vacuum assisted resin transfer moulding (VARTM), more commonly called vacuum infusion. Finite element analyses are carried out in ANSYS, with composite layups modelled using shell elements in Ansys using Ansys Composite PrepPost (ACP). Physical testing is carried out with an MTS tensile test machine and digital image correlation (DIC) is used to capture the experimental deformation of the tested samples. The results show that the simulation is able to capture the initial elastic response of the experimental tests with good agreement. The study aims to provide the building blocks to develop a novel T-joint design, with higher weight-normalised stiffness than the existing alternatives, after having validated the simulation framework against experimental results. Key limitations include the geometric simplification to a 100 mm representative section and the deviation to VARTM from the final production process intended by GKN Aerospace.
- Unconventional Traffic Signal Control and Simulation Simulation-Based Evaluation of Unconventional Traffic Control Methods(2026) SREENIVASANPOTTY , MANJUNATHANPOTTY; SASIDHARAN, SHYAMJITHThe objective of this thesis was to evaluate alternative traffic signal-control strategies at the Ullevi intersection in Gothenburg. A microscopic traffic simulation model was developed in PTV VISSIM using observed traffic volumes, public transport operations, pedestrians, bicycle facilities, signal groups, and detector information. Three signal-control scenarios were evaluated under identical traffic demand conditions: existing VAP-based actuated control, a tandem pre-signal design, and a fixed-time signal-control strategy. The scenarios were compared using average vehicle delay, queue length, vehicle travel time, and pedestrian travel time. The results showed that signal-control modifications can improve intersection performance without major physical infrastructure changes. The Tandem pre-signal technique showed an improvement in traffic flow on some approaches by using an upstream signal to organize before they have entered the main intersection. Whereas the fixed-time technique proved to be reliable and more consistent in dealing with many movements, including pedestrians crossing the road. Each solution, however, involved its own drawbacks, and they had different effects on different groups of road users as well as traffic as a whole. Overall, the results indicate that the signal control strategies used do not perform well under all conditions. The suitable approach depends upon practical priorities of the intersection and trade-off between the traffic movement and different user groups.
- A Patient-Specific Metabolic Modeling Framework of Whole-Blood Transcriptomes for Early Screening of Prodromal Parkinson’s Disease(2026) Chapman, HaileyAbstract Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with widespread metabolic dysfunction, particularly involving mitochondrial pathways. Because clinical diagnosis typically occurs only after substantial neuronal loss has already occurred, there is increasing interest in identifying molecular alterations associated with the prodromal phase of disease progression. Genome-scale metabolic models (GEMs) provide a systems-level framework for integrating transcriptomic data with known metabolic networks to investigate disease-associated metabolic changes. In this thesis, the mitochondrial compartment of HumanGEM was first curated through systematic comparison with the manually curated MitoCore model to im prove reaction directionality and compartment consistency. Longitudinal whole blood RNA-seq data from healthy control, prodromal PD, and established PD co horts were then integrated with the curated model using the ftINIT contextualization algorithm to generate 2326 patient-specific GEMs. Flux sampling was subsequently performed to characterize feasible metabolic states across patient-specific models. Global analyses of model structure and sampled flux-space organization revealed limited disease separation at the systems level. However, differential flux analysis identified metabolic alterations. Significant reactions were associated with mul tiple pathways that have been previously implicated in PD, such as amino acid metabolism, lysosomal degradation and fatty acid processing. Overall, this work demonstrates the application of patient-specific metabolic mod eling to investigate systemic metabolic alterations associated with Parkinson’s dis ease progression. Although the identified metabolic differences were modest and heterogeneous across longitudinal timepoints, the findings demonstrate the utility of GEM-based approaches for exploratory systems-level analysis of complex human disease
