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Access Type
WSU Access
Date of Award
January 2024
Degree Type
Dissertation
Degree Name
Ph.D.
Department
Computer Science
First Advisor
Zheng Dong
Abstract
Since its introduction with Bitcoin in 2009, blockchain technology has evolved significantly,expanding beyond its initial financial scope to become a crucial element in various industries. This innovation represents a new era that offers the potential to transform sectors like real estate, healthcare, and law by enabling secure, transparent, and decentralized transactions. The appeal of blockchain lies in its ability to support direct transactions without the need for intermediaries, leading to cost reduction, improved efficiency, and increased security. Through its decentralized ledger, the blockchain ensures that each transaction is securely encrypted and connected to previous ones, making it highly challenging to manipulate historical data without network consensus.
This dissertation explores the possibilities and obstacles of blockchain technology and smartcontracts, proposing innovative approaches to enhance their effectiveness, scalability, and security. The research addresses crucial barriers to blockchain adoption, including limitations in scalability, concerns about privacy, vulnerabilities in security, and the complexities of integrating real-world data. One solution presented is Speedster, a Layer-2 state channel developed to address the scalability and efficiency issues of blockchain. Furthermore, a secure and effective framework named BCRAND is introduced to generate verifiable random numbers on BFT-based blockchains. Another contribution is FSPDE, a plausible deniable encryption system designed specifically for blockchain applications to protect private keys against physical coercion. Lastly, FALCON offers an innovative Oracle solution to address the latency challenges commonly seen in existing blockchain oracles.
Recommended Citation
Liao, Jinghui, "Towards Reliable And Efficient Blockchain Applications" (2024). Wayne State University Dissertations. 3996.
https://digitalcommons.wayne.edu/oa_dissertations/3996
