About the position
Context
Within the framework of a partnership
collaboration ({SERENDIPITY} and the start-up ARKANE
Assignment
Assignments :
With the support of the supervisor, the recruited researcher will conduct a state-of-the-art review to identify recent solutions and approaches for the identification and detection of mobile devices based on their signal emissions.
An initial framework has already been developed by the team, and both the source code and datasets are openly accessible. The researcher will build upon this existing framework and investigate potential improvements and extensions.
The developed solution is expected to be energy-aware and designed to operate effectively on resource-constrained devices. The solution should be automitized and dynamically adapt to different environments.
The main initial references to deal with this research activity are [1] and [2].
[1] Ildi Alla, Milin Zhang, Jonathan Ashdown, Valeria Loscri, Francesco Restuccia, Finding a needle in a (Spectrum) haystack: Multi-band multi-device radio fingerprinting, Computer Networks, Volume 280, 2026, 112148, ISSN 1389-1286,
https://doi.org/10.1016/j.comnet.2026.112148
.
[2] I. Alla, S. Yahia, V. Loscri and H. Eldeeb, "Robust Device Authentication in Multi-Node Networks: ML-Assisted Hybrid PLA Exploiting Hardware Impairments,"
2024 Annual Computer Security Applications Conference (ACSAC)
, Honolulu, HI, USA, 2024, pp. 1172-1185, doi: 10.1109/ACSAC63791.2024.00094.
Collaboration :
The recruited person will be in connection with the Inria Team members and the starup ARKANE.
Main activities
Main activities:
Propose advanced energy-aware solutions for identification and detection of both static and mobile emitting devices
Develop a frameworks, integrating frugal AI algorithms
Participate to the experimenta validation of teh implemented solutions
Write reports
Test, change up until validation
Skills
Technical and software skills and level required :
Good programming skills in Python, MATLAB, and C++.
Ability to design and implement a testbed
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