Dendritic Cells for Real-Time Anomaly Detection
Greensmith, Julie, Aickelin, Uwe
–arXiv.org Artificial Intelligence
Intrusion detection systems (IDS) are a method used in computer security for detection of unauthorised use of machines. The Danger Project proposed by Aickelin et al. (2003) aims to improve on results previously seen with artificial immune systems (AIS) by applying concepts from the Danger Theory to IDS. Danger theory proposes that exposure to danger signals or pathogenic bacteria causes the activation of the immune system, not pattern matching of antigen. The cells responsible for combining these various signals are Dendritic cells. We use the'signals plus context' processing power of Dendritic Cells (DCs) to perform anomaly detection.
arXiv.org Artificial Intelligence
Jan-14-2010
- Country:
- Europe > United Kingdom > England > Nottinghamshire > Nottingham (0.15)
- Genre:
- Research Report > New Finding (0.48)
- Industry:
- Technology: