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MaNaDAC: An Effective Alert Correlation Method

  • Manaswita Saikia*
  • , Nazrul Hoque
  • , Dhruba Kumar Bhattacharyya
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper presents an effective alert correlation method referred to as MaNaDAC to support network intrusion detection. The method includes several modules such as feature ranking and selection, clustering and fusion to process low-level alerts and uses the concept of causality to discover relations among attacks. The method has been validated using DARPA 2000 intrusion dataset.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages249-260
Number of pages12
DOIs
Publication statusPublished - 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume740
ISSN (Print)2194-5357

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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