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Understanding Security and Privacy Characteristics ofHybrid-based IP-ICN Coexistence Architectures

Arora, Shruti (author)

Information-centric Networking (ICN) is the revolution of the internet due to its many benefit over the current internet infrastructure, namely caching, location-independent routing, and data-centric security. ICN ensures seamless data transfer due to its content-centric nature. Due to its content-centric nature, it is a must to ensure that...

bachelor thesis 2021

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Robustness of optimal randomized decision trees with dynamic programming

Götz, Valentijn (author)

Decision tree learning is widely done heuristically, but advances in the field of optimal decision trees have made them a more prominent subject of research. However, current methods for optimal decision trees tend to overlook the metric of robustness. Our research wants to find out whether the robustness of optimal decision trees can be...

bachelor thesis 2023

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Privacy Preservation in a Blockchain-Based Healthcare System

Zagorac, Ivor (author)

The continuous generation of a large volume of health data from different sources has led to healthcare being a data-intensive domain. To achieve innovative advances in medical treatment procedures and to provide personalized healthcare services to the patients this data needs to be shared among different medical facilities. However, because...

bachelor thesis 2021

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Security and privacy attacks and mitigations in Information-Centric Network

Rashad, Mohamed (author)

Information-Centric Networking (ICN) is a new approach for a more scalable and effective internet. ICN has many benefits, namely: ubiquitous caching, location-independent content routing and content-centric security. Despite the aforementioned benefits, the network paradigm is not ready to replace the current host-centric network as ICN is...

bachelor thesis 2021

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Optimal decision tree using dynamic programming: for the algorithm selection problem

Zeng, Henwei (author)

Several algorithms can often be used to solve a complex problem, such as the SAT problem or the graph coloring problem. Those algorithms differ in terms of speed based on the size or other features of the problem. Some algorithms perform much faster on a small size while others perform noticeably better on a larger instance. The optimization...

bachelor thesis 2023

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Training human-AI agent in Overcooked

Vos, Jim (author)

Most cooperative games are tackled by creating a team of agents who are optimised for each other and the problem. Creating an agent who can play in a variety of teams without any foreknowledge of its partner is a different challenge. These AI systems could useful for human-AI interaction as different people bring a lot of variance into the...

bachelor thesis 2022

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Reward Definitions in Reinforcement Learning for Traffic Light Control

Jansen, Cian (author)

Traffic congestion is a problem of tremendous size that affects many people. Using Reinforcement Learning to find a light control policy can ease traffic congestion and decrease travel time for vehicles. This paper specifically looks at the effect of using different reward functions for training agents. We highlight how the learnabilty of a...

bachelor thesis 2020

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Q-value reuse between state abstractions for traffic light control

Kuhn, Emanuel (author)

Previous research has in reinforcement learning for traffic control has used various state abstractions. Some use feature vectors while others use matrices of car positions. This paper first compares a simple feature vector consisting of only queue sizes per incoming lane to a matrix of car positions. Then it investigates if knowledge can be...

bachelor thesis 2020

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Fine-grained Access Control for a Blockchain-based Healthcare System

Duveen, Sem (author)

Large volumes of medical data (MD) are continuously generated by the healthcare domain. When sharing these data, issues arise regarding privacy and security. To solve these issues, a permissioned blockchain (BC) can be used, but since blockchains do not have access control (AC) as a default feature, the integration of an access control system ...

bachelor thesis 2021

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Effectiveness of propensity score methods with density estimation in identifying overlap for causal inference

Tjong, Jonathan (author)

For causal inference, sufficient overlap is needed. It is possible to use propensity scores with the positivity assumption to ensure overlap is present. However, positivity is not enough to properly identify the region of overlap. For this, propensity scores need to be used in combination with density estimation. This project aims to evaluate...

bachelor thesis 2023

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Using Game Theory to Analyse Local and Global Performance of Traffic Signal Control Strategies

Tersmette, Pepijn (author)

One of the most important bottlenecks that contributes to the congestion of traffic is nonoptimal traffic signal control. Techniques that have been investigated to optimise traffic signal control have been focused on improving the traffic flow through individual intersections. However, if intersections are optimised based on only reducing local...

bachelor thesis 2020

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Integrating Consent Management Techniques into Blockchain-Based Medical Data Sharing

Jacobs, Ben (author)

The health industry is a data-intensive domain. Sharing medical data between medical facilities is necessary for providing good healthcare as well as for research in the healthcare domain. However, due to the sensitive and personal nature of health data, challenges arise when sharing this data. Consent management is a key aspect. The use of...

bachelor thesis 2021

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Security and privacy in medical data sharing through blockchain

Guettache, Karim (author)

The sharing of medical data is becoming ever more important. More and more health-related data is being generated everyday and as will be shown later, its primary as well as its secondary usage brings many benefits to the healthcare system. However, medical data systems are not fail proof and are often the target of cyber-attacks, compromising...

bachelor thesis 2021

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Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control

Oren, Yaniv (author)

Identifying the most efficient exploration approach for deep reinforcement learning in traffic light control is not a trivial task, and can be a critical step in the development of reinforcement learning solutions that can effectively reduce traffic congestion. It is common to use baseline dithering methods such as $\epsilon$-greedy. However,...

bachelor thesis 2020

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Cost-sensitive optimal decision trees dealing with delays

Butzelaar, Sven (author)

Machine learning can be used to classify patients in a hospital. Here, the classifier has to minimize the cost of misclassifying the patient and minimize the costs of the tests. Unfortunately, obtaining features may be costly, e.g., taking blood tests or doing an x-ray scan. Furthermore, it is possible that acquiring those test results may take...

bachelor thesis 2023

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Security and Privacy of Overlay-based ICN/IPCoexistence Approaches

van der Poel, Cesar (author)

Information-Centric Networking (ICN) is a networking paradigm proposed to replace the current IP network. It uses in-network caching to enhance availability. However, as a clean slate approach is unlikely to work, an architecture that allows for the two paradigms to coexist needs to me used to facilitate the transition. Several such...

bachelor thesis 2021

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A Storage Architecture for Blockchain-Based Healthcare Systems

Heijbroek, Diederik Heijbroek (author)

Patient monitoring and clinical trial management generate continuous large volumes of healthcare data, causing the healthcare industry to be a data-intensive domain. Existing data storage techniques and access mechanics in the healthcare domain exhibit several challenges related to data security, patient privacy, and interoperability. Blockchain...

bachelor thesis 2021

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Security and Privacy Features Supported by Different Overlay-based ICN/IP Coexistence Architectures

Sokolov, Mihhail (author)

Information-Centric Networking (ICN) is a common approach to the Internet of the future. However, transitioning to the new Internet architecture right away is impractical if not impossible. Hence, there will be some period of coexistence of ICN and IP. This paper investigates the support of security and privacy features in the three most popular...

bachelor thesis 2021

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Using Nearest-Neighbors to Evaluate Overlap in Causal Inference

Vincenti, Jort (author)

To validate the results of a medical trial, there must be an overlap between the treatment and control groups. This implies the crucial need for good evaluation methods. This study, therefore, aimed to evaluate the overlap between causal classes using the Nearest Neighbours’ methods. Firstly, a case study was built around the common failures of...

bachelor thesis 2023

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Combining Multi-Objective Planning with Reinforcement Learning to Solve Complex Tasks in Environments with Sparse Rewards

van Rijn, Cas (author)

Sequential decision-making problems are problems where the goal is to find a sequence of actions that complete a task in an environment. A particularly difficult type of sequential decision-making problem to solve is one in which the environment has sparse rewards, a large state space, and where the goal is to complete a complex task. In this...

master thesis 2023