A distributed Framework for Supporting Adaptive Ensemble-based Intrusion Detection

被引：0

作者：

Cuzzocrea, Alfredo ^{[1
,2
]}

Folino, Gianluigi ^{[1
,3
]}

Sabatino, Pietro ^{[1
,3
]}

机构：

[1] Univ Trieste, Trieste, Italy

[2] CNR, ICAR, Trieste, Italy

[3] CNR, ICAR, Arcavacata Di Rende, Italy

来源：

PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA | 2015年

关键词：

Intrusion Detection Systems; Network Intrusion Detection Systems; Ensemble-based Intrusion Detection Systems; GEOMETRIC DIFFUSIONS; STRUCTURE DEFINITION; HARMONIC-ANALYSIS; ANOMALY DETECTION; REDUCTION; EIGENMAPS; SYSTEMS; TOOL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes anatomy and main functionalities of a distributed framework for supporting adaptive ensemble-based intrusion detection. We start from open issue and limitations of actual state-of-the-art proposals, and we derive a suitable architecture that, based on actual, emerging research trends, finally defines and innovative ensemble-based network intrusion 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.

引用

页码：1910 / 1916

页数：7

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