Searched for: +
(1 - 20 of 24)

Pages

document
Prasad, Nivedita (author)
People like to travel in groups to visit places. Group recommendation systems can be used to recommend an itinerary of "places of interests" (POIs) in an ordered sequence. The order of POIs in the sequence can be explained to group members to increase acceptance of the recommended items. There is a possibility that explanations which reveal...
master thesis 2019
document
Prahesa Kusuma Setia, Prahesa (author)
Current interconnected society provides us with numerous devices communicating with one another. Exchange of data thus become an integral part in our live. Data become valuable commodity in today's setting because of their usage by individual and other interested parties. Several parties may be interested in computing a function over their data...
master thesis 2017
document
Turcios Rodriguez, Elsa (author)
Tracking is a pervasive mechanism across the web which is capable to trace and collect users’ online data. One of the most widely used mechanisms for tracking are cookies, and they are used to deliver online behavioral advertisement. Since these mechanisms pose a threat to privacy, the E-Privacy Directive was created as the regional legal...
master thesis 2018
document
van Stam, Just (author)
Begun in 2020, Polkadot is one of the largest blockchains in market capitalization and development. However, privacy on the Polkadot network has yet to be one of the key focus points. Especially unlinkability between the user’s IP address and Polkadot address is essential. Without this unlinkability, users are vulnerable to targeted ads,...
master thesis 2022
document
Taneva, Aleksandra (author)
Nowadays, the online industry contributes to a multi-billion dollar business, facilitates most of the population's everyday activities, and processes vast amounts of data, including personal data. Current work aims to explore the inconsistency or consistency of the content obtained by the websites to generate cookies based on various data that...
master thesis 2023
document
van Tetering, Daphne (author)
The convenient service offered by credit cards and the technological advances in e-commerce have caused the number of online payment transactions to increase daily. With this rising number, the opportunity for fraudsters to obtain cardholder details via online credit card fraud has also increased. As a result, according to the European Central...
master thesis 2021
document
Shriram, Sharad (author)
Modern web information systems use machine learning models to provide personalized user services and experiences. However, machine learning models require annotated data for training, and creating annotated data is done through crowdsourcing tasks. The content used in annotation crowdsourcing tasks like medical records and images might contain...
master thesis 2019
document
Kroskinski, Ivo (author)
Organizations use cloud service providers for outsourcing their data, since this includes advantages such as: scalability, security and no need for in house experts. Therefore, outsourcing data to cloud providers results in reduced costs. <br/>The disadvantage of outsourcing data to a cloud provider, is that organizations are not in control of...
master thesis 2023
document
van de Kamp, Lars (author)
Machine learning techniques receive significant responsibilities, despite growing privacy concerns. Early-stage autonomous vehicles are increasingly appearing on the streets, carrying the burden of transporting human-lives to their destination. Meanwhile, doctors are involving Artificial Intelligence (AI) in their medical diagnoses, basing...
master thesis 2018
document
Rovers, Tim (author)
This master thesis explores to what degree information about a company's commitment to privacy can be extracted from a privacy statement. To do this, firstly a new database of more than 1500 privacy statements is created using Amazon Mechanical Turk. Next, 72 different aspects related to privacy of the statements are enumerated by using natural...
master thesis 2019
document
Geboers, Sven (author)
Currently, inland waterway shipping mainly includes barges and bulk transportation with little to no variation in volume, product, and route. Since transport over water emits less CO2 per tonne-km than road transport, a potential way to reduce CO2 emissions is to transport more containers via inland waterways. Large delays cause unreliability,...
master thesis 2022
document
Nasrullah, I.H. (author)
Detecting and tracking of objects by a tracking device can be considered a breach of privacy when an unauthorised party can associate certain tracking information outputted by the tracker to the identity of an individual. Therefore, when this privacy-sensitive information is stored in a database, it is desired that this is done in a secure...
master thesis 2009
document
Kitkauskas, Mantas (author)
Armenia faces international conflicts especially with Azerbaijan and Turkey. There is always a chance of a sudden intensification of conflicts what results in extreme militarization of country as well as strengthened social control. Social control gains new level as the relation between government and society is also complicated. As a...
master thesis 2018
document
Van Bergen, A.T.M. (author)
While travelling with their RV, campers want to have the same comfort as their home. That includes the use of toilets. European RVs use a system where the human-wastes are contained in a waste-holding tank until those wastes are dumped. The dumping needs to be done manually, the RV user has to remove the tank from the RV, bring the tank to a...
master thesis 2015
document
de Jong, Alex (author)
This study aims to provide insight into how factors relating to privacy and incentives influence people's willingness to participate in sharing their vehicle based sensing data with governmental parties for the purposes of improved dynamic traffic management in the Netherlands. Through the use of a stated preference experiment data is gathered...
master thesis 2019
document
van der Meulen, Sietske (author)
Digitalization and automation brings many amazing things; games, social media, navigation. However, it also makes us more vulnerable. The facelessness of cyber space and the emancipation of place makes it hard to grasp. Additionally, our personal data becomes more valuable and thereby more lucrative to criminalize. The combination of these...
master thesis 2019
document
Somai, Ashay (author)
This thesis looks at how to characterize weaknesses in machine learning models that are used for detecting privacy-sensitive data in images with the help of crowdsourcing. Before we can come up with a method to achieve a goal, we first need to make clear what we consider privacy-sensitive data. We took the General Data Protection Regulation ...
master thesis 2021
document
Humblet Vertongen, Marie (author)
Face recognition using lidar presents challenges arising from high dimensionality and data sparsity, especially at longer distances. This paper proposes a novel approach for face recognition via automotive lidar. The approach leverages a combination of deep learning and point cloud processing techniques. After identification of the facial point...
master thesis 2023
document
Dekker, Florine (author)
Privacy-preserving data aggregation protocols have been researched widely, but usually cannot guarantee correctness of the aggregate if users are malicious. These protocols can be extended with zero-knowledge proofs and commitments to work in the malicious model, but this incurs a significant computational cost on the end users, making adoption...
master thesis 2020
document
Yu, Wenrui (author)
Privacy concerns in federated learning have attracted considerable attention recently. In centralized networks, it has been observed that even without directly exchanging raw training data, the exchange of other so-called intermediate parameters such as weights/gradients can still potentially reveal private information. However, there has been...
master thesis 2023
Searched for: +
(1 - 20 of 24)

Pages