Artificial immune system
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Intrusion Detection (ID) is one of the active branches in network security research field. Many technologies, such as neural networks, fuzzy logic and genetic algorithms have been applied in intrusion detection and the results are varied. In this thesis, an Artificial Immune System (AIS) based intrusion detection is explored. AIS is a bio-inspired computing paradigm that has been applied in many different areas including intrusion detection.
74p 
runthenight07
01-03-2023
8
2
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Two major areas of the scorecard development process were identified as having much capacity for improving credit scoring models. These are the application of 1) better classifiers and 2) variable selection techniques. However, the application of an artificial immune system for developing scorecards as well as the use of other variable selection techniques, other than stepwise regression, in credit scoring are quite limited as indicated by the scarcity of published materials in these two areas in the current literature.
210p runthenight04
02-02-2023
6
2
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We present a novel data structure for extracting data from protected self set. That helps to produce all possible detectors, or a complete detector repertoire, with lower time and space complexities compare to recent novel approaches. Theoretical analysis and experimental results show that our approach is effective and feasible. These new valuable characteristics can make complex AIS have the highest ability to detect data changes and to reduce false detection.
5p cumeo2004
02-07-2018
30
1
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