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Privacy Preserving Smart-Contract Platforms and E-Voting
Žiška, Marek ; Homoliak, Ivan (oponent) ; Perešíni, Martin (vedoucí práce)
This work examines privacy-preserving platforms Secret, Phala, and Oasis Network, which provide frameworks for development of smart contracts with confidential storage and computation capabilities. We compare these platforms based on their features such as performance, usability, and additional factors within the context of an electronic voting use case. Firstly, we establish the theoretical foundations by introducing Voting Systems, then Blockchains, Smart Contracts, Trusted Computing, and Privacy-Preserving Platforms. We analyze the development capabilities, storage options, and other features of the selected platforms and propose the design of smart contracts for the e-voting application. Following this, we implement given smart contracts, detailing our experience, the tools used, testing procedures, contruct structure, and statistics collection methods. Proposed collected statistics allow us to estimate the vote-casting throughput of our implementations. Using this metric, along with other aspects, such as the development experience, storage options, community activity, documentation quality, we evaluate and compare these platforms. At the end we conclude the achieved results, key insights, reflections, and potentional areas for future improvements.
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Biometric System Security Using Blockchain Technology
Žiška, Marek ; Drahanský, Martin (oponent) ; Malaník, Petr (vedoucí práce)
This work analyzes existing protocols used to reach consensus in blockchain technologies, describes the concepts of biometric systems, identifies their security threats, and presents existing solutions for securing the biometric systems. Based on these findings, designs a decentralized version of the biometric system that makes use of the weighted PBFT protocol and the blockchain to improve the security of feature extraction and matching module of the classical biometric system. Blockchain is characterized as a system of recording information that assures immutability. The direct use of blockchain to secure sensitive data, such as biometric data, is not expected to be the most appropriate use, but its integration within the processes of individual components of biometric systems appears to be a good option. The proposed system was implemented and tested with a variety of test scenarios. Evaluation has shown that our design managed to mitigate direct attacks on the focused components and attacks on the channels that connect them together and the channel that connects the matcher to the external application.
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Biometric System Security Using Blockchain Technology
Žiška, Marek ; Drahanský, Martin (oponent) ; Malaník, Petr (vedoucí práce)
This work analyzes existing protocols used to reach consensus in blockchain technologies, describes the concepts of biometric systems, identifies their security threats, and presents existing solutions for securing the biometric systems. Based on these findings, designs a decentralized version of the biometric system that makes use of the weighted PBFT protocol and the blockchain to improve the security of feature extraction and matching module of the classical biometric system. Blockchain is characterized as a system of recording information that assures immutability. The direct use of blockchain to secure sensitive data, such as biometric data, is not expected to be the most appropriate use, but its integration within the processes of individual components of biometric systems appears to be a good option. The proposed system was implemented and tested with a variety of test scenarios. Evaluation has shown that our design managed to mitigate direct attacks on the focused components and attacks on the channels that connect them together and the channel that connects the matcher to the external application.
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