The paper proposes a multiobjective approach to the problem of malicious network traffic classification, with specificity and sensitivity criteria as ...
The paper proposes a multiobjective approach to the problem of malicious network traffic classification, with specificity and sensitivity criteria as ...
ABSTRACT. The paper proposes a multiobjective approach to the prob- lem of malicious network traffic classification, with specificity.
The purpose of the classifiers is to discriminate information about the network traffic obtained from Idiotypic Network-based Intrusion Detection System (INIDS) ...
abstract = "The paper proposes a multiobjective approach to the problem of malicious network traffic classification, with specificity and sensitivity criteria ...
This work proposes a Multi-Objective Divide and Conquer (MODC) model for network traffic classification, by combining, into a hybrid model, supervised and ...
Multiobjective classification with moGEP: an application in the network traffic domain. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf ...
Jan 30, 2024 · This work introduces a methodology, termed MTEFU, leveraging a deep learning model-based multi-task learning algorithm, strategically designed to mitigate the ...
Missing: moGEP: | Show results with:moGEP:
Multiobjective classification with moGEP: an application in the network traffic domain. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf ...
Multiobjective classification with moGEP: an application in the network traffic domain · Markov chain analysis of genetic algorithms in a wide variety of ...