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In the context of network intrusion detection, we test a lately reported technique which generates a set of fuzzy rules to recognize unknown abnormal patterns using a test- function which we call a-tiny-island-in-a-huge-lake. Our concern is whether or not we can train the system only with a set of already known normal patterns. Yet another of our concern is what happens in an extreme case where a sample of abnormal patterns are very few comparing to the normal ones, and what if it eventually shrinks to zero, which is what they call a-needle-in-a-haystack.
Date of Conference: 5-7 Sept. 2005