Difference between revisions of "Announcements"
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| − | =3 Master's Theses in the ASSET Project | + | =3 Master's Theses in the ASSET Project= |
| − | + | ==ASSET Project== | |
The ASSET project is a cooperation project between NR, Gjøvik University | The ASSET project is a cooperation project between NR, Gjøvik University | ||
College (GUC), Oslo University Hospital (OUH) and international partners, | College (GUC), Oslo University Hospital (OUH) and international partners, | ||
| Line 11: | Line 11: | ||
Universities' master's program. | Universities' master's program. | ||
| − | 1. Design, deploy, and use an accurate energy-monitoring system for | + | ==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 | body-sensor networks. The goal is to have a dashboard depicting | ||
information about the residual energy of the sensor nodes and their | information about the residual energy of the sensor nodes and their | ||
| Line 17: | Line 18: | ||
this task. | this task. | ||
| − | 2. Hardware implementation of lightweight encryption/signature | + | '''2. Hardware implementation of lightweight encryption/signature |
| − | algorithms on sensor boards. This allows consistent delay reduction | + | algorithms''' on sensor boards. This allows consistent delay reduction |
and energy saving since the encryption routines will be executed in | and energy saving since the encryption routines will be executed in | ||
assembly. FPGA (Field-programmable gate array) and VHDL (VHSIC | assembly. FPGA (Field-programmable gate array) and VHDL (VHSIC | ||
Hardware Description Language) skills are required for this task. | Hardware Description Language) skills are required for this task. | ||
| − | 3. Software implementation of game theoretic models for the estimation | + | '''3. Software implementation of game theoretic models''' for the estimation |
and prediction of unknown threats and analysis of their impacts. This | and prediction of unknown threats and analysis of their impacts. This | ||
allows accurate security risk impact assessment in order to estimate | allows accurate security risk impact assessment in order to estimate | ||
| Line 35: | Line 36: | ||
results in international conferences/journals | results in international conferences/journals | ||
| − | + | ==Contact== | |
Habtamu Abie, Principal Investigator and Project Manager | Habtamu Abie, Principal Investigator and Project Manager | ||
| + | |||
Tel:(+47) 22852595 | Tel:(+47) 22852595 | ||
| + | |||
Email: Habtamu.Abie@nr.no | Email: Habtamu.Abie@nr.no | ||
Revision as of 07:19, 28 August 2013
Contents
3 Master's Theses in the ASSET Project
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
Contact
Habtamu Abie, Principal Investigator and Project Manager
Tel:(+47) 22852595
Email: Habtamu.Abie@nr.no
