Shangqi Lai

Research Scientist at CSIRO's Data61

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Please contact me via email

I am a Research Scientist at the Distributed Systems Security team of CSIRO’s Data61. Before joining Data61, I was a Research Fellow at the Cyber Security Group of Monash University, Australia. I obtained my PhD degree from Monash University in 2020.

My research focuses on the security and privacy issues of network systems deployed with popular techniques, such as End-to-End Encryption communications, network function virtualisation and AI. Also, my research aims to systematically adopt privacy-enhancing technologies to guarantee identity/data confidentiality, protect critical network infrastructures and resources, as well as improve the reliability of next generation networks, e.g., networks with the Zero-Trust architecture and 5G&Beyond mobile wireless communications.

selected publications

  1. IEEE TDSC
    Practical Encrypted Network Traffic Pattern Matching for Secure Middleboxes
    Shangqi Lai, Xingliang Yuan, Shi-Feng Sun , and 4 more authors
    IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
    arXiv HTML
  2. NDSS
    OblivSketch: Oblivious Network Measurement as a Cloud Service
    Shangqi Lai, Xingliang Yuan, Joseph K Liu , and 4 more authors
    In The 2021 Network and Distributed System Security Symposium (NDSS) , 2021
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  3. NDSS
    Practical Non-Interactive Searchable Encryption with Forward and Backward Privacy
    Shi-Feng Sun, Ron Steinfeld, Shangqi Lai , and 5 more authors
    In The 2021 Network and Distributed System Security Symposium (NDSS) , 2021
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  4. ACM ASIACCS
    GraphSE2: An Encrypted Graph Database for Privacy-Preserving Social Search
    Shangqi Lai, Xingliang Yuan, Shi-Feng Sun , and 3 more authors
    In The 14th ACM ASIA Conference on Computer and Communications Security (ASIACCS) , 2019
    arXiv HTML
  5. ACM CCS
    Result Pattern Hiding Searchable Encryption for Conjunctive Queries
    Shangqi Lai, Sikhar Patranabis, Amin Sakzad , and 6 more authors
    In The 25th ACM Conference on Computer and Communications Security (CCS) , 2018
    arXiv HTML Code