Improving self defense by learning from limited experience
Karen Zita Haigh, Steven A. Harp · 2008
Prevalence of new attacks or attack variants presents an interesting challenge for autonomic cyber-defense: how does the autonomic defense mechanism learn from previous failures, acquiring immunity with experience, and do so as rapidly as possible. In the limiting case, only a single a single observed failure may be available for learning.