Overview
Topic status: We're looking for students to study this topic.
Recognizing the onset of an unauthorised intrusion into a distributed data or communications network such as the internet is particularly difficult in a real-time sense, especially when the intrusion profile is unknown or not constant. By considering the human immune system as a model for an adaptive real-time intrusion detection system, this project will review the aspects of the immune system that lend itself to this goal, together with the demonstration of the concept in a highly distributed network. This will bring together the concepts of multiple coupled systems of ordinary differential equations solved simultaneously with some intercommunication, as is the case with meta-population models used in ecology, with the principles of auto-detection and repair observed in the human immune system's response to tumour growth.
- Study level
- Honours
- Supervisors
- QUT
- Organisational unit
Science and Engineering Faculty
- Research area
- Contact
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Please contact the supervisor.
Professor Graeme Pettet
