articleProcedia Computer ScienceJan 1, 2015DIAMOND OA

Survey on Anomaly Detection using Data Mining Techniques

Rajiv Gandhi Technical University

Indexed incrossref

Abstract

In the present world huge amounts of data are stored and transferred from one location to another. The data when transferred or stored is primed exposed to attack. Although various techniques or applications are available to protect data, loopholes exist. Thus to analyze data and to determine various kind of attack data mining techniques have emerged to make it less vulnerable. Anomaly detection uses these data mining techniques to detect the surprising behaviour hidden within data increasing the chances of being intruded or attacked. Various hybrid approaches have also been made in order to detect known and unknown attacks more accurately. This paper reviews various data mining techniques for anomaly…

Citation impact

587
total citations
FWCI
29.80
Percentile
100%
References
39
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Anomaly detection
  • Data mining
  • Anomaly (physics)
  • Data science
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