3 Master's Theses Available in the ASSET Project
The ASSET project is a cooperation project between NR, Gjøvik University College (GUC), Oslo University Hospital (OUH) and international partners, and is financed by The Research Council of Norway in the VERDIKT program. The project is in the process of building and optimizing light-weight abilities in Smart Things that will allow them to detect in real-time unknown security and privacy threats, and respond and adapt to them. In this connection the following concrete topics for three master's theses are available. The candidates are required to register in the Norwegian Universities' master's program.
Topics for three master's theses
1. Design, deploy, and use an accurate energy-monitoring system for body-sensor networks. The goal is to have a dashboard depicting information about the residual energy of the sensor nodes and their expected lifetime. Electronic instrumentation skills are required for this task.
2. Hardware implementation of lightweight encryption/signature algorithms on sensor boards. This allows consistent delay reduction and energy saving since the encryption routines will be executed in assembly. FPGA (Field-programmable gate array) and VHDL (VHSIC Hardware Description Language) skills are required for this task.
3. Software implementation of game theoretic models for the estimation and prediction of unknown threats and analysis of their impacts. This allows accurate security risk impact assessment in order to estimate and predict risk damages and future benefits. Security decisions should therefore be adapted according to those estimates and predictions. Mathematics and programming in Matlab and C++ (preferably on Linux OS) skills are required for this task.
We provide positive working environment and possibilities of publishing results in international conferences/journals
Habtamu Abie, Principal Investigator and Project Manager