Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/244303
Title: EFFICIENT SIDE-CHANNEL ATTACKS AND MACHINE LEARNING BASED SECURITY SOLUTIONS FOR SOC
Authors: FANG QIANG
ORCID iD:   orcid.org/0000-0002-7606-8613
Keywords: side-channel attacks, hardware security, design adaptive countermeasure, machine learning
Issue Date: 10-Jan-2023
Citation: FANG QIANG (2023-01-10). EFFICIENT SIDE-CHANNEL ATTACKS AND MACHINE LEARNING BASED SECURITY SOLUTIONS FOR SOC. ScholarBank@NUS Repository.
URI: https://scholarbank.nus.edu.sg/handle/10635/244303
Appears in Collections:Ph.D Theses (Closed)

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