MaNaDAC: An Effective Alert Correlation Method View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Manaswita Saikia , Nazrul Hoque , Dhruba Kumar Bhattacharyya

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. More... »

PAGES

249-260

References to SciGraph publications

Book

TITLE

Recent Developments in Machine Learning and Data Analytics

ISBN

978-981-13-1279-3
978-981-13-1280-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-13-1280-9_24

DOI

http://dx.doi.org/10.1007/978-981-13-1280-9_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106929881


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