Mr Anushka Vidanage

I am a PhD student in the Research School of Computer Science at the Australian National University.  My research interests are focused on privacy-preserving record linkage (PPRL) attacks. PPRL is the process of linking records in databases from different sources, while at the same time, preserving the privacy of the individual entities stored in those databases. Recently, PPRL has gained a lot of attention from different organisations around the world, and therefore many techniques have been proposed to preserve the privacy of record linkage. In my research study, I explore the potential attacks, such as frequency, cryptanalysis, and brute force attacks that might lead to expose, alter, destroy, or steal unauthorised information from encoded databases even when PPRL techniques have been applied.

Currently, I am working on Bloom filter (BF) related attacks where I investigate on how analysing bit patterns can lead to uncover encoded information in databases.

My supervisors are Peter Christen, Thilina Ranbaduge, and Rainer Schnell.

My research interests generally lie in the areas of data privacy and record linkage (also known as entity resolution). I am especially interested in security and privacy aspects of record linkage (privacy-preserving record linkage) and potential attacks on PPRL based techniques.

  • Anushka Vidanage, Thilina Ranbaduge, Peter Christen, Sean Randall. 2020. “A Privacy Attack on Multiple Dynamic Match-key based Privacy-Preserving Record Linkage”. International Journal of Population Data Science (IJPDS). (In press)
  • Anushka Vidanage, Thilina Ranbaduge, Peter Christen, Rainer Schnell. 2019. "Efficient Pattern Mining Based Cryptanalysis for Privacy-Preserving Record Linkage". In IEEE International Conference on Data Engineering (ICDE), Macau, 1698-1701.
  • Thilina Ranbaduge, Anushka Vidanage, Sirintra Vaiwsri, Rainer Schnell, Peter Christen. 2018. “Evaluating hardening techniques against cryptanalysis attacks on Bloom filter encodings for record linkage”. International Journal of Population Data Science (IJPDS), 3 (4).
  • Peter Christen, Anushka Vidanage, Thilina Ranbaduge, Rainer Schnell. 2018. “Pattern mining based cryptanalysis of Bloom filters for privacy-preserving record linkage”. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, 530-542.
  • Anushka Vidanage, Isuru Dharmadasa, Buddika Jayasinghe, Chamath Keppitiyagama. 2016. "Reusing discarded-smartphone capabilities on quadcopters: The rationale, benefits and issues". In International Conference on Advances in ICT for Emerging Regions (ICTer), Negombo, 229-236.

Education

  • Bachelor of Science in Information and Communication Technology (Honours) - 1st Class
    University of Colombo School of Computing (UCSC), Sri Lanka - http://ucsc.cmb.ac.lk
    2011 - 2016
  • Higher Diploma in Computer Science (HDCS) - 2nd Upper Class
    Infortec International, Nugegoda, Sri Lanka - http://www.infortec.lk
    2011 - 2012

Work Experience

  • Tutor (Casual Sessional Academic)
    The Australian National University
    Present - 2018
  • Research Officer
    The Australian National University
    Present - 2019
  • Teaching Instructor
    University of Colombo School of Computing (UCSC)
    2016 - 2017
  • Software and Web Developer
    Think Abstract Solutions (PVT) Ltd.
    2014 - 2017

Awards & Scholarships

  • 3MT People's Choice Award and College Level Winner (2019)
    Three Minute Thesis competition
    The Australian National University
  • ANU Postgraduate Research Scholarship (2017)
    The Australian National University
  • ANU HDR Merit Scholarship (2017)
    The Australian National University
  • Professor V. K. Samaranayake Medal for the Most Outstanding Graduate of UCSC (2015)
    University of Colombo School of Computing
  • Best Final Year Project Award for the 4th year research project (group) (2015)
    University of Colombo School of Computing

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing