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
收藏
页码：1910 / 1916
页数：7
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