Julia Rubin gestures in front of a white board during her lecture at the Vaihingen campus.

How taint analysis stops malware

October 16, 2023 /

As an associate professor at the University of British Columbia (UBC), Julia Rubin tracks malware on smartphones. She has now presented her approach to taint analysis in Stuttgart attracting great interest at the Software Lab (SOLA).
[Picture: Srocke]

On August 23, Julia Rubin followed the invitation of the Software Lab (SOLA) to Stuttgart and spoke on site about "Detecting Mobile Malware via Program Analysis and Machine Learning". The talk provided background on current approaches of Julia Rubin's group at UBC. Their goal is to efficiently detect malicious apps in real time on mobile devices.

Julia Rubin explores the potential of a "Path-aware Dynamic Taint Analysis."
Julia Rubin erforscht die Potenziale einer „Path-aware Dynamic Taint Analysis“.

In the talk, Julia Rubin addressed the challenges of machine learning and the potential of "Path-aware Dynamic Taint Analysis"–and struck a chord with Prof. Michael Pradel, Head of SOLA:

"Julia's excellent work on analyzing malware via taint analysis relates to some our ongoing efforts, e.g., our 'Fluffy' project on finding vulnerable JavaScript packages. Motivated by Julia's visit, we plan to further explore potential collaborations between both groups."

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