Shangqi Lai
CSIRO Clayton
Research Way
Clayton, VIC, 3168, Australia
I am a Research Scientist at the Distributed Systems Security Group of CSIRO's Data61, Australia. Before joining CSIRO, I was a Research Fellow at Monash University. I obtained my PhD degree from Monash University in 2020. Before that, I earned my M.Sc. (Computer Science) degree from The University of Hong Kong and B.E. degree (Information Security) from Nanjing University of Aeronautics and Astronautics.
I have broad interests in data security and privacy of cloud-based applications (e.g., encrypted database, virtualised network function, machine learning, etc.). My research mainly focuses on designing practical systems to address the security and privacy issues in the above applications.
Selected Publications
- IEEE TDSCPractical Encrypted Network Traffic Pattern Matching for Secure MiddleboxesIEEE Transactions on Dependable and Secure Computing (TDSC) 2022
Short Abstract: Secure and efficient pattern matching protocol that saves 94% communication cost in encrypted pattern matching applications
- NDSSOblivSketch: Oblivious Network Measurement as a Cloud ServiceIn The 2021 Network and Distributed System Security Symposium (NDSS) 2021
Short Abstract: Enabling highly secure network measurements over backbone-scale networks with probabilistic data structures and trusted hardware
- NDSSPractical Non-Interactive Searchable Encryption with Forward and Backward PrivacyIn The 2021 Network and Distributed System Security Symposium (NDSS) 2021
Short Abstract: Efficient searchable encryption protocol with the minimum communication round and the highest security level among the existing works
- ACM ASIACCSGraphSE2: An Encrypted Graph Database for Privacy-Preserving Social SearchIn The 14th ACM ASIA Conference on Computer and Communications Security (ASIACCS) 2019
Short Abstract: A graph database system that supports versatile privacy-preserving social network services upon encrypted social networks
- ACM CCSResult Pattern Hiding Searchable Encryption for Conjunctive QueriesIn The 25th ACM Conference on Computer and Communications Security (CCS) 2018
Short Abstract: Low-cost enhancement on the security level of conjunctive queries in searchable encryption via a new cryptographic primitive that is 30000x faster than prior works