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Hardware-Assisted Performance and Security Enhancements of 5G Networks

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Pubblicato in:ProQuest Dissertations and Theses (2025)
Autore principale: Wen, Zhixin
Pubblicazione:
ProQuest Dissertations & Theses
Soggetti:
Computer science
Statistics
Artificial intelligence
Information technology
Computer engineering
Accesso online:Citation/Abstract
Full Text - PDF
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245 1 |a Hardware-Assisted Performance and Security Enhancements of 5G Networks 
260 |b ProQuest Dissertations & Theses  |c 2025 
513 |a Dissertation/Thesis 
520 3 |a As 5G mobile network continues to grow, making it more performant and secure has become an important issue. Recent advances in programmable hardware and confidential computing have opened new possibilities to addressing these concerns together. In this dissertation, we propose three methods to address the performance, security, and privacy concerns in the 5G network. First, we developed a high performance 5G data plane User Plane Function (UPF) that allows for both high amount of concurrent user and bandwidth while maintaining low latency in both data and control plane. Second, we built on top of the UPF to introduce a combined on-path and off-path malicious app detection framework that uses domain name queries to allow scalable detection of malicious apps on users’ devices. Lastly, we deploy a practical edge 5G network using confidential computing and secure aggregation to build and run a privacy-preserving real-world traffic analysis system. 
653 |a Computer science 
653 |a Statistics 
653 |a Artificial intelligence 
653 |a Information technology 
653 |a Computer engineering 
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786 0 |d ProQuest  |t ProQuest Dissertations & Theses Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3256687393/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3256687393/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch