Title: Modelling of Security Evaluation Framework for Adversarial Classifier using the Patterns Classification Technique.
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Title: |
Modelling of Security Evaluation Framework for Adversarial Classifier
using the Patterns Classification Technique.
|
Author Name: |
sreedevi N |
Abstract: |
The goal of pattern recognition system in adversarial classification task of computer networks is to discriminate between two classes namely the legitimate class and the malicious class. Pattern recognition for adversarial classification problems should be designed considering accuracy and robustness, such that it does not allow accuracy degradation when under attack. The aim of this work is to investigate whether multiplier classifier systems allow improving robustness of pattern recognition system in adversarial classification with respect to the single classifier system. |
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