Zhou Li

Contact Information

Data-driven security analytics, internet measurement, side-channel analysis, IoT security
: 3227 Engineering Hall
Email: zhou.li@uci.edu
(949) 824-9724

Professor Zhou Li’s Research

Zhou Li is currently an Assistant Professor in the Electrical Engineering and Computer Science departments at the University of California, Irvine. He received his Ph.D. in Computer Science at Indiana University Bloomington in 2014. His current research interests lie in data-driven security analytics, internet measurement, side-channel analysis, and IoT security. To read more about Zhou Li, see https://engineering.uci.edu/users/zhou-li.

Project Websites

Recent Research Areas & Interests

  • Domain Name System (DNS)
    • Protocol security [Security’18][CoNext’19][FOCI’20][NDSS’23][Security’23a]
    • Measurement [IMC’19][NDSS’21][SRDS’21]
    • Malicious domain detection [DSN’15][CCS’17]
    • Domain fraud [Security’14][Security’16][EuroS&P’19][SecureComm’18a][DSN’18][SecureComm’19]
  • Graph Security analytics (GSA)
    • Graph Neural Network (GNN) based anomaly detection  [Security’23b]
    • Efficient attack provenance  [Security’21]
    • Detection with web proxy logs [DSN’15][SecDev’16][ACSAC’16][ACSAC’18a]
    • Detection with end-host logs [RAID’17]
  • Privacy Enhancement Technologies (PETs)
    • Application of differential privacy (DP) [EuroSP’22]
    • Data stream DP [CCS’21a]
  • Security and privacy for machine learning
    • Model extraction attacks with side-channel [DSN’20][TIFS’21][ACSAC’22]
    • Data extraction [ACSAC’21a]
    • Adversarial perturbation [IJCAI’20][TDSC’22][DSN’23]
    • Education [EAAI’23]

Other Areas & Interests

  • Mobile security
    • Permissions [RAID’19][S&P’21a][CCS’21b]
    • Payment [Security’17][ACSAC’18b]
    • Obfuscation [SecureComm’18a]
    • Interrupts [S&P’16]
  • IoT security
    • Traffic analysis [AsiaCCS’20]
    • Bluetooth [NDSS’19]
    • Wearable [CCS’15]
  • Other side-channel analysis
    • Web applications [CCS’10][TWC’14]
    • I/O and CPU [S&P’21b][S&P’22]
    • GPU [PETS’17]