Browsing by Author "Li, Yunxuan"

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Open Access
Preserving privacy in software defined car environments
(2022) Li, Yunxuan
Modern vehicles are becoming more and more intelligent. With new sensors and software that are available for Connected Vehicles (CVs), they are capable of collecting, processing, and sharing data with various participants in connected car environments. Although they bring us lots of convenience and connectivity, they also introduce new threats, such as security, reliability, and privacy. In this thesis, we focus on the privacy aspect and analyze the privacy requirements of connected car environments. To ensure users’ privacy, we propose the Privacy for Connected Vehicle Framework. In general, our framework behaves as an access control system between source data generated in CVs and various end-point services. To protect privacy, our framework only shares data that are perturbed based on users’ privacy requirements. To ensure maximum service quality, our framework does not interfere any business logic of end-point services. In addition, our framework can provide protection for both situational privacy patterns and individual privacy demands. Moreover, our framework always puts users’ safety before privacy and can be deployed in both edge environments and fog environments.
Open Access
A privacy preserving ethereum-based E-voting system
(2019) Li, Yunxuan
Both E-Voting and blockchain are popular topics these years. Although a blockchain seems to be a promising surrounding for E-Voting systems, there are only a few E-Voting systems based on Blockchain nowadays. Especially Ethereum, which is famous for its decentralized smart contract execution, provides interesting possibilities if one wants to build up a (partly) decentralized E-Voting system. In this thesis, we propose a new Privacy-preserving Ethereum-based E-Voting System (PEES) that provides accuracy, verifiability and privacy. Not like many other Blockchain based E-Voting systems that only saves encrypted votes on-chain to protect Voter's privacy only against the public, PEES uses Zero-Knowledge Proofs to break the connection between a Voter and his vote, to achieve a stronger privacy protection. With a small precondition, PEES protects Voter's privacy not only against the public but also against potential malicious election organizers --- a group of people who has the decryption keys for the election.