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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
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van Schaick, Bart (author)Blockchain technology has revolutionized the way data is stored, managed, and shared across various industries. Its decentralized nature and immutability make it highly attractive in use cases that require transparency, integrity, and accountability. However, some applications demand confidentiality, necessitating the development of permissioned...master thesis 2023
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Couwenberg, Ruben (author)The Internet of Things (IoT) consists out of billions of devices. This vast size magnifies the security and efficiency challenges the IoT faces. Blockchain (BC) features like decentralisation, immutability and smart contracts can negate these IoT challenges. <br/>In this paper we discuss how BC based solutions can significantly increase the...bachelor thesis 2023
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Janssen, Jeroen (author)The Internet of Things (IoT) is producing significant amounts of data. Protecting this data from adversaries is therefore a prominent field of research. This paper conducts a review of the current state-of-the-art in the field of IoT integrated with Blockchain (BC) and Machine Learning (ML). The review focuses on the use of privacy and...bachelor thesis 2023
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Najafian, S. (author)My thesis investigates what makes good explanations for group recommendations, considering the privacy concerns of group members. Let’s give an example. Have you ever been to lunch with other colleagues on a business trip? Do you recall how long it took you to pick a restaurant? In these situations, recommender systems could help people decide,...doctoral thesis 2023
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Li, Meng (author), Chen, Yifei (author), Lal, C. (author), Conti, M. (author), Alazab, Mamoun (author), Hu, Donghui (author)Vehicular Digital Forensics (VDF) is essential to enable liability cognizance of accidents and fight against crimes. Ensuring the authority to timely gather, analyze, and trace data promotes vehicular investigations. However, adversaries crave the identity of the data provider/user, damage the evidence, violate evidence jurisdiction, and leak...journal article 2023
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Zhou, Junwei (author), Lei, Botian (author), Lang, Huile (author), Panaousis, Emmanouil (author), Liang, K. (author), Xiang, Jianwen (author)Genotype imputation estimates missing genotypes from the haplotype or genotype reference panel in individual genetic sequences, which boosts the potential of genome-wide association and is essential in genetic data analysis. However, the genetic sequences involve people's privacy, confirming an individual's identification and even disease...journal article 2023
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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
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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
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de With, Wim (author)Recommender systems usually base their predictions on user-item interaction, a technique known as collaborative filtering. Vendors that utilize collaborative filtering generally exclusively use their own user-item interactions, but the accuracy of the recommendations may improve if several vendors share their data. Since user-item interaction...master thesis 2022
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Palazzo, Marco (author)Large amounts of data are continuously generated by individuals, apps, or dedicated devices. These data can be aggregated to compute useful statistics from multiple sources using data aggregation protocols. However, oftentimes these data contain private information that must be protected from misuse. Privacy-preserving protocols can help to...master thesis 2022
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Pulles, Annemijn (author)Due to the increasing use of Internet-of-Things (IoT) devices people have created an entirely new digital world for themselves. However, the security and privacy risk in this world are emerging. People using smart devices for everything in their lives are not realising that every interaction is collected and stored in databases. This study has...master thesis 2022
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Granneman, Erik (author)The increasing advancements in quantum computing have led to an increasing danger for the cyberspace. The current cryptographic algorithms that are used to enable secure communication across insecure channels have the potential to be brute-forced by sufficiently powerful quantum computers, endangering the security of many electronic devices and...master thesis 2022
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Tian, Yuhang (author)In this work, we propose FLVoogd, an updated federated learning method in which servers and clients collaboratively eliminate Byzantine attacks while preserving privacy. In particular, servers use automatic Density-based Spatial Clustering of Applications with Noise (DBSCAN) combined with S2PC to cluster the benign majority without acquiring...master thesis 2022
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Jordan, Sebastian (author)In recent years, the large increase in connected devices and the data that is collected by these devices has caused a heightened interest in distributed processing. Many practical distributed networks are of heterogeneous nature. Because of this, algorithms operating within these networks need to be simple, robust against network dynamics and...master thesis 2022
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Karahan, Asli (author)Healthcare recommender systems emerged to help patients make better decisions for their health, leveraging the vast amount of data and patient experience. One type of this system focuses on recommending the most appropriate physician based on previous patient feedback in the form of ratings. Such advice can be challenging to generate for new...master thesis 2022
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Memar Zahedani, Armin (author)Double Auctions are mechanisms to trade commodities such as electricity or parts of the wireless spectrum at optimal prices. Bidders and sellers simultaneously submit quantity-price pairs to an auctioneer, denoting the quantity they want to buy or sell at specific prices. The auctioneer aggregates the offers into demand and supply curves to...master thesis 2022
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Vunderink, Pepijn (author)With widespread use of advanced technology for the recording, storing and sharing of social interactions, protecting privacy of people has been a growing concern. This paper zooms in on the collection of spoken audio with regard for the privacy of recorded individuals. Recently efforts have been made to collect audio at a low sampling rate to...bachelor thesis 2022
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Schram, Gregor (author)Machine learning has been applied to almost all fields of computer science over the past decades. The introduction of GANs allowed for new possibilities in fields of medical research and text prediction. However, these new fields work with ever more privacy-sensitive data. In order to maintain user privacy, a combination of federated learning,...bachelor thesis 2022
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Jehee, Wouter (author)Federated learning (FL), although a major privacy improvement over centralized learning, is still vulnerable to privacy leaks. The research presented in this paper provides an analysis of the threats to FL Generative Adversarial Networks. Furthermore, an implementation is provided to better protect the data of the participants with Trusted...bachelor thesis 2022