Zhonghao Liao, Ph.D.
Assistant Professor | Milwaukee School of Engineering
Milwaukee, WI, UNITED STATES
Zhonghao Liao has expertise in the areas of cybersecurity and distributed systems.
Education, Licensure and Certification (3)
Ph.D.: Computer Engineering, Iowa State University 2024
M.S.: Computer Engineering, Iowa State University 2022
B.E.: Automation, Jilin University, China 2014
Biography
Dr. Zhonghao Liao is an Assistant Professor in the Department of Computer Science and Software Engineering at MSOE. He received his Ph.D. in computer science from Iowa State University in 2024. He is passionate about teaching and research, and his research interests include security and privacy, distributed systems, and blockchain.
Areas of Expertise (8)
Digital Forensics
Data-Driven Security and Privacy
Verifiable Computing
Blockchain
Distributed System
Applied cryptography
Accountability and Anonymity
Hardware Security
Accomplishments (3)
Professional Advancement Grants (professional)
2021 Iowa State University
Graduate Student Professional Development Support (professional)
2021 Iowa State University
Research Excellence Award (professional)
2024 Iowa State University
Selected Publications (4)
AgBIS: A Blockchain-enabled Crop Insurance Platform Against Adverse Selection, Moral Hazard, and Insurance Frauds
2023 IEEE International Conference on Blockchain (Blockchain)2023 Crop insurance is widely adopted to help farmers stabilize incomes and mitigate uncertainties. However, current crop insurance systems face significant challenges, including adverse selection, moral hazard, and insurance frauds, further exacerbating the difficulties associated with cost, program sustainability, and market failures.
RUDBA: Reusable User-Device Biometric Authentication Scheme for Multi-service Systems
2021 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)2021 The authentication and verification of user and device identities require cost-effective solutions. Two emerging approaches, biometric authentication and devices’ fingerprint, allow users and devices to prove their identity efficiently and securely. Furthermore, users are inclined to register multiple services with the same secret information.
The Cell Dependency Analysis on Learning SRAM Power-Up States
2018 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)2018 The authentication and verification of a device requires strong and cost-effective digital fingerprint based solutions. The power-up state of Static Random Access Memory (SRAMs) has been widely used for a variety of authentication and identification purposes, such as SRAM-based Physical Unclonable Functions (PUFs) and Random Number Generators (RNGs), which form the basis for many cryptographic algorithms and protocols.
The impact of discharge inversion effect on learning SRAM power-up statistics
2017 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)2017 The authentication and verification of devices require lightweight and cost-effective solutions such as the use of fingerprints of the components contained in the device. The power-up state of Static Random Access Memory (SRAMs) has a significant effect on some security and authentication applications, such as SRAM Physical Unclonable Function (PUFs) and Random Number Generation (RNG).
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