Master Thesis: Transfer Learning to Defend IoT Networks
We are looking for dedicated master’s students to join us in the Connected Intelligence Unit at RISE.
The Connected Intelligence Unit is part of RISE Computer Science in Kista. The current research focus is on the Internet of Things. Among the group's key technologies are the Contiki operating system, uIP stack, ContikiRPL, SICSLoWPAN, and lightweight implementation of IPsec and DTLS. The unit conducts projects together with industry and academic partners from Sweden and across the world.
The Internet of Things (IoT) is expected to enable applications of utmost societal value, such as energy-efficient buildings, smart cities, intelligent grids, and next-generation healthcare. One of the potential roadblocks for the IoT revolution is the lack of security. While there is a lot of progress on security for larger devices, we also need to consider security for the most resource-constrained devices. While a lot of research has been done in intrusion detection for IoT networks, most of the studies have only been done in simulation. In this thesis, we explore if we can transfer simulation results into real-world testbeds. We are also interested in understanding what kind of re-training can be performed in the testbed.
- Start Time: As soon as possible
- Scope: 30 hp
- Location: RISE Computer Science, Kista, Stockholm
Who are you?
We expect you to have good programming skills in embedded, low-level C and knowledge of networking, in particular Internet protocols. An interest in security is also a prerequisite.
Welcome with your application!
If this sounds interesting and you would like to know more, please contact Thiemo Voigt, tel 010 228 43 48 or Saptarshi Hazra, tel 0767519691. Applications should include a brief personal letter, CV, and recent grades. Candidates are encouraged to send in their application as soon as possible but at the latest on the 15th of December 2022. Suitable applicants will be interviewed as applications are received.
Our union representatives Lazaros Tsantaridis, SACO, 010 516 62 21 or Bertil Svensson, Unionen, 010-516 53 56.
Master thesis, Embedded systems, Internet of Things, RISE, Stockholm
Student - examensarbete/praktik
2022-12-15Skicka in din ansökan