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A Distributed Framework for Supporting Adaptive Ensemble-based Intrusion Detection,

Conference Paper
Publication Date:
2015
abstract:
This paper proposes anatomy and main functional- ities of a distributed framework for supporting adaptive ensemble- based intrusion detection. We start from open issues and lim- itations of actual state-of-the-art proposals, and we derive a suitable architecture that, based on actual, emerging research trends, finally defines an innovative ensemble-based network in- trusion detection system that combines following requirements: distribution, cooperativeness, scalability, multi-scale network traffic analysis, feature selection and extraction. These requirements are recognized by our study as first-class research challenges for next- generation intrusion detection systems.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
big data; intrusion detection
List of contributors:
Sabatino, Pietro; Folino, Gianluigi; Cuzzocrea, ALFREDO MASSIMILIANO
Authors of the University:
FOLINO GIANLUIGI
Handle:
https://iris.cnr.it/handle/20.500.14243/303826
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