CNRS, IRISA, Rennes, France
Research topic While malware detection and mitigation research are now trending, a lot of challenges and unsolved problems still remain. Recently, sophisticated malware designers invented techniques to circumvent software detection techniques. A new direction consists in using unintentionally emitted hardware side-channel information. The big advantage of this information is the non-detection by malware designers. Still, those approaches have to be established in real-world scenarios and efficient analysis techniques developed and implemented. We are currently building up a realistic IoT malware side-channel analysis platform which gives us first interesting new insights.
Joining our team you will
- infect IoT devices with malware samples,
- be responsible for the maintenance of the side-channel workbench,
- derive and develop efficient implementations of analysis algorithms,
- drive top-quality research and publish in A*/A-class security and malware conferences.
Prerequisites We are looking for team players who are motivated and able to drive top-quality research. The area of research lies between several fields and we expect at least competences in one of them:
- embedded devices/side-channel analysis, and/or
- statistics, machine learning, deep learning, and/or
- malware analysis.
Additionally, an ideal candidate should have:
- Research engineer: MS degree in a related field, with 1-3 years of work experience,
- PostDoc: Ph.D. in a related field
- good programming skills,
- good level in written and spoken English,
- motivation to save the world.
Last updated: 2020-01-15 posted on 2020-01-13