In summary, we can unfortunately state that negative selection, is not appropriate for network intrusion detection and anomaly detection problems. Page 9 ...
In this thesis, the principle of "negative selection" as a paradigm for detecting intrusions in computer networks and anomaly detection is explored. Negative ...
On the Appropriateness of Negative Selection for Anomaly Detection and Network Intrusion Detection ; Authors: Thomas Stibor ; Year/month: 2006/3 ; School: ...
This work investigated the appropriateness of the nega- tive selection principle as a network intrusion detection. 3which is very optimistic estimation ...
This paper intends to review various negative selection taxonomies, representations and matching techniques from inception to current scenario in anomaly ...
Missing: appropriateness | Show results with:appropriateness
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We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion ...
Thomas Stibor: On the appropriateness of negative selection for anomaly detection and network intrusion detection. Darmstadt University of Technology, ...
A straightforward self detector classification principle is proposed and its classification performance is compared to a real-valued negative selection ...
Missing: intrusion | Show results with:intrusion
TL;DR: Results reveal that negative selection, is not appropriate for network intrusion detection and anomaly detection problems, especially when compared to ...
The negative selection algorithm is one of the oldest immune-inspired classification algorithms and was originally intended for anomaly detection tasks in ...