Associate ProfessorSuranga Seneviratne

Associate Professor in Security

Faculty of Engineering

RESEARCH INTERESTs

With billions of devices and users worldwide now connected to the internet, and this number increasing exponentially, protecting the security and privacy of internet users has never been more crucial. This is the important area on which Dr Suranga Seneviratne's research focuses.

"While the internet has made our lives easier in many ways, it also comes with some associated risks. In the past few years alone, we've witnessed significant data breaches, botnets in operation, cyberterrorism activities, and distributed denial-of-service attacks at scales never seen before. Ongoing advances in artificial intelligence also equip attackers with increasingly sophisticated tools that can be leveraged to launch novel and resilient attacks.

My research looks at how to secure networked systems and end-user devices from cyberattacks. The main challenge in doing this is the trade-off between usability and security - it's not practical to develop highly secure systems if they impose additional usability overheads on the user.

Cybersecurity has always been an ongoing arms race between attackers and researchers. As security researchers, we need to identify vulnerabilities and potential threats before they are exploited and devise countermeasures when attackers adapt their strategies. I enjoy this continuous challenge of working in network security, and its very dynamic nature.

Some of the applications of my research include more usable authentication systems. For example, I'm currently working on novel and ubiquitous behaviour biometrics that will enable intrusion-free sensing and thus allow users to authenticate without any password or security token.

"I've also developed an app for mobile devices that provides a five-star security rating for apps installed on the device and suggests secure alternatives to any riskier or more vulnerable apps that users have installed.

I have been working in network security since 2011, and I joined the University of Sydney in 2017.

I envision a future where we can use the internet seamlessly and pervasively without worrying about security and privacy."

FUNDED RESEARCH

  • GRANT
    ClearSight: LLM Agent Assisted Network Discovery and Mapping Under Partial Network Visibility (DIN SII)
    NSW Department of Industry1 Jan 2025
    People funded by this grant:
  • GRANT
    Unsupervised User Identification At-Scale Using Multi-Modal Behavioural Biometrics
    Office of National Intelligence1 Jan 2025
    People funded by this grant:
    • Seneviratne A,
    • Seneviratne S
  • GRANT
    Betrayed by Apps: Automated, Scalable Detection of Mobile App Malpractices
    Australian Research Council (ARC)1 Jan 2022 - 4 Sep 2026
    People funded by this grant:
    • Seneviratne S
  • GRANT
    Resilient and Secure Edge Computing for Untrusted Distributed Systems
    Office of National Intelligence1 Jan 2022
    People funded by this grant:
  • GRANT
    Resilient and Trustworthy Edge Computing (DIN project)
    NSW Department of Industry1 Sep 2021
    People funded by this grant:
    • Lee YC,
    • Zomaya A,
    • Seneviratne S,
    • Seneviratne A,
    • Kanhere S
  • GRANT
    Privacy-preserving data access mechanism for resource-constrained healthcare devices
    NSW Department of Industry1 Sep 2018
    People funded by this grant:
    • Seneviratne S,
    • Jha SK,
    • Seneviratne A
  • GRANT
    Understanding the Threat Landscape for IoT in Australia
    NSW Department of Industry1 Jul 2018
    People funded by this grant:
  • GRANT
    Multimodal Neural Embeddings for Detecting Counterfeit Apps
    Google LLC1 May 2018
    People funded by this grant:
  • GRANT
    Internet-scale Phishing Website Detection Through Deep Feature-based Image Embeddings and Forensics
    NSW Department of Industry1 Jan 2018
    People funded by this grant:
    • Seneviratne S,
    • Holz R,
    • Tao D,
    • Hagenbuchner M,
    • Wang Z