Artificial Immunity for Embedded Safety Critical Software
Submitted by ozer on Tue, 05/02/2008 - 11:09.
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Affiliated to
ARMLocation
Cambridge, UKTiming
FlexibleDescription
Artificial immune systems provide an interesting method of anomaly detection in computer science and engineering applications. Taking inspiration from the negative selection theory of t-cell receptors in the biological immune system, the methodologies have been applied to computer security, intrusion detection, and computer virus detection, and also explored within the area of digital system design. Probabilistic matching is used to detect 'faulty-like' sequences without having a comprehensive and exhaustive detection mechanism.
The aim of this project will be to investigate the application of negative selection and anomaly detection to microprocessor systems, and investigate the development of software based decision making systems (with supporting hardware) to enable fast and efficient detection of abnormal operation and code sequences.
Requirements:
- Ph.D student with good software, C-C++, some ARM assembler knowledge and an interest in hardware/Verilog
Click here to apply for this internship.
Click here for a list of all applications for this PhD.
Click here to go to an overview off all internships (and applications) for this call.