ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Field of Research : Information Systems Management
Research Topic : computer
Australian State/Territory : SA
Clear All
Filter by Field of Research
Information Systems Management (3)
Information Systems (2)
Computer System Security (1)
Database Management (1)
Interdisciplinary Engineering (1)
Interdisciplinary Engineering Not Elsewhere Classified (1)
Pattern Recognition and Data Mining (1)
Research, Science And Technology Policy (1)
Filter by Socio-Economic Objective
Ageing and Older People (1)
Application Software Packages (excl. Computer Games) (1)
Application Tools and System Utilities (1)
Computer software and services not elsewhere classified (1)
Information Processing Services (incl. Data Entry and Capture) (1)
Other (1)
Technological and organisational innovation (1)
Filter by Funding Provider
Australian Research Council (3)
Filter by Status
Closed (3)
Filter by Scheme
Discovery Projects (2)
Research Networks (1)
Filter by Country
Australia (3)
Filter by Australian State/Territory
SA (3)
QLD (2)
ACT (1)
NSW (1)
VIC (1)
WA (1)
  • Researchers (2)
  • Funded Activities (3)
  • Organisations (2)
  • Funded Activity

    Discovery Projects - Grant ID: DP150104871

    Funder
    Australian Research Council
    Funding Amount
    $340,300.00
    Summary
    Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving .... Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving this problem. It proposes to develop a set of effective methods for privacy-preserving data publication through combining randomisation with anonymisation, and for classifying the published data through uncertainty leveraging by probabilistic reasoning and accuracy lifting by inter-flow correlation analysis and active learning.
    Read more Read less
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP130104614

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Learning human activities through low cost, unobtrusive RFID technology. A rapidly growing aged population presents many challenges to Australia's health and aged care services. The outcomes of this project will help aging Australians live in their own homes longer, with greater independence and safety by providing an automated, unobtrusive means for health professionals to monitor activity and intervene as required.
    More information
    Funded Activity

    Research Networks - Grant ID: RN0459557

    Funder
    Australian Research Council
    Funding Amount
    $1,950,000.00
    Summary
    ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat .... ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.
    Read more Read less
    More information

    Showing 1-3 of 3 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback