Application of Concept Drift and Distributed Machine Learning for Detection of Anomalies in Network Traffic

dc.contributor.guide	Kaur, Gagandeep and Saxena, Vikas
dc.coverage.spatial
dc.creator.researcher	Jain, Meenal
dc.date.accessioned	2022-03-16T09:27:02Z
dc.date.available	2022-03-16T09:27:02Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2017
dc.description.abstract	included newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	198p.
dc.identifier.uri	http://hdl.handle.net/10603/368700
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering and Information Technology
dc.publisher.place	Noida
dc.publisher.university	Jaypee Institute of Information Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Clustering
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Concept Drift
dc.subject.keyword	Distributed
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Ensemble
dc.subject.keyword	Streaming
dc.subject.keyword	Support Vector Machine
dc.title	Application of Concept Drift and Distributed Machine Learning for Detection of Anomalies in Network Traffic
dc.title.alternative
dc.type.degree	Ph.D.