Detail publikace

Network Anomaly Detection: Comparison and Real-time Issues

Originální název

Network Anomaly Detection: Comparison and Real-time Issues

Anglický název

Network Anomaly Detection: Comparison and Real-time Issues

Jazyk

en

Originální abstrakt

This paper discusses several issues of evaluation and comparison of anomaly detection algorithms, namely lack of publicly available implementations and annotated data sets. Another problem of many methods is a detection delay caused by operating on data binned to a long time intervals. The paper presents a library under development which aims to tackle the comparison and evaluation issues. Further, the paper proposes a novel anomaly detection approach that can contribute to anomaly detection in real-time.

Anglický abstrakt

This paper discusses several issues of evaluation and comparison of anomaly detection algorithms, namely lack of publicly available implementations and annotated data sets. Another problem of many methods is a detection delay caused by operating on data binned to a long time intervals. The paper presents a library under development which aims to tackle the comparison and evaluation issues. Further, the paper proposes a novel anomaly detection approach that can contribute to anomaly detection in real-time.

BibTex


@inproceedings{BUT91466,
  author="Václav {Bartoš} and Martin {Žádník}",
  title="Network Anomaly Detection: Comparison and Real-time Issues",
  annote="This paper discusses several issues of evaluation and comparison of anomaly
detection algorithms, namely lack of publicly available implementations and
annotated data sets.
Another problem of many methods is a detection delay caused by operating on data
binned to a long time intervals.
The paper presents a library under development which
aims to tackle the comparison and evaluation issues. 
Further, the paper proposes a novel anomaly detection approach 
that can contribute to anomaly detection in real-time.",
  address="Springer Verlag",
  booktitle="Dependable Networks and Services",
  chapter="91466",
  doi="10.1007/978-3-642-30633-4_15",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer Verlag",
  year="2012",
  month="june",
  pages="118--121",
  publisher="Springer Verlag",
  type="conference paper"
}