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Thomas, Jeroen (author)In a world where more data gets uploaded to the cloud, it is essential that the data gets stored securely. For users to keep search functionality, searchable symmetric encryption has been developed. SSE works by a user sending a token representing a keyword (or a range), after which the server returns the documents that match the keyword (or...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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Lambregts, Steven (author)Searchable Symmetric Encryption (SSE) schemes provide secure search over encrypted databases while allowing admitted information leakages. Generally, the leakages can be categorized into access, search, and volume pattern. In most existing Searchable Encryption (SE) schemes, these leakages are caused by practical designs but are considered an...master thesis 2022
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Grishkov, Ilya (author)This paper offers a prototype of a smart-contract-based encryption scheme meant to improve the security of user data being uploaded to the ledger. A new extension to the self-encryption scheme was introduced by integrating identity into the encryption process. Such integration allows to permanently preserve ownership of the original file and...bachelor thesis 2022
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Gordijn, Daan (author)Blockchain technologies allow users to securely store and trace their data on a fully decentralized system, and have the potential to make a huge impact on many industries. While traditional, permissionless blockchains such as Bitcoin, Ethereum, and Cardano are very popular, they are currently unable to provide trust and privacy on the network....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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Pejić, Ignjat (author)A Generative Adversarial Network (GAN) is a deep-learning generative model in the field of Ma- chine Learning (ML) that involves training two Neural Networks (NN) using a sizable data set. In certain fields, such as medicine, the data involved in training may be hospital patient records that are stored across different hospitals. The classic cen...bachelor thesis 2022
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Amalan, Akash (author)Federated learning is an emerging concept in the domain of distributed machine learning. This concept has enabled GANs to benefit from the rich distributed training data while preserving privacy However,in a non-iid setting, current federated GAN architectures are unstable, struggling to learn the distinct features and vulnerable to mode...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
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Starke, Zeddrich (author)Block-chain technology is gaining momentum in both industry and academics. With<br/>this momentum there are a lot of potential gains, but also potential risk involved. This papers proposes a solution for security risks, like a man-in-the-middle-attack, of the permissioned block-chain distributed ledger software Hyperledger Fabric. A prototype is...bachelor thesis 2022
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Nanhekhan, Kevin (author)Smart contracts play an important role within the blockchain by ensuring that valid transactions are being recorded. However, there are critical concerns regarding the security and privacy of data within these blockchain applications. This research provides information on how the integration of the Trusted Platform Module can achieve more...bachelor thesis 2022
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Deshamudre, Rohan (author)Smart contracts allow for the collaboration and transaction processes between multiple parties/organisations to be automated and conducted in a neutral environment. In many situations these agreements are confidential and running a smart contract that contains private/sensitive information on a public blockchain network which is transparent and...bachelor thesis 2022
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Chatterjee, Agniv (author)Blockchain networks are increasingly recognized as a disruptive technology across sectors such as online services, finance, supply chain, administration etc. They are underpinned by smart contracts which provide programmatic instruction for the blockchain to operate. A major obstacle in the widespread adoption of blockchain technology is the...bachelor thesis 2022
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Joosen, Floor (author)Privacy and security are important topics in data aggregation, as companies are aggregating large amounts of sensitive data from their users. The aim of this paper is to improve the security and privacy of data aggregation using smart contracts, homomorphic encryption and post-quantum encryption methods on Hyperledger Fabric. After a literature...bachelor thesis 2022
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Vega Sanchez, Julio (author)The increasing demand for sharing Internet of Things (IoT) increases demand for a secure way of sharing data. Smart contracts could provide this because of its distributed nature. Proxy re-encryption is an encryption (PRE) method that can be used to share information. In this paper, a secure data sharing scheme is presented that uses multi-hop...bachelor thesis 2022
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Park, Chaiwon (author)A rise in the use of blockchain systems implies an increase in smart contract usage. Blockchain systems can easily be found these days, most notably in cryptocurrencies and financial management. Furthermore, the Internet of Things (IoT) is being developed with blockchain, since blockchain ensures trust in IoT data and adds great flexibility....bachelor thesis 2022
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Kahawati, Ali (author)Blockchain networks have acquired ongoing notoriety among associations that need to utilise the security perspectives that blockchain gives. Hyperledger Fabric (HF) is one of the most widely utilised distributed network technologies, most ordinarily applied in situations that require private information to be maintained safely and secretly. Use...bachelor thesis 2022
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Bulină, Malina (author)Data outsourcing has become one of the primary means for preserving information as it passes the responsibility of storage management to the service provider. However, storing sensitive data remotely poses privacy threats for the data owners. Searchable encryption (SE) is a technique that allows performing search queries over encrypted data. The...bachelor thesis 2022
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Paulsen, Cathrine (author)Hyperledger Fabric is a permissioned enterprise blockchain allowing organizations to collaborate and automate processes via smart contracts. However, these contracts could contain security vulnerabilities leading to unexpected behavior or other negative consequences. Therefore, this study takes a closer look at three reported smart contract...bachelor thesis 2021
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Slager, Cheyenne (author)GoQuorum is an enterprise blockchain platform that supports smart contracts and allows for private transactions. Smart contracts enable automated payment while eliminating the need for third-party involvement. Previous attacks on smart contracts have already shown that existing vulnerabilities can lead to great financial losses. Yet, a study...bachelor thesis 2021
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