Data Driven Approaches for Classifying IIoT System Behavior

dc.contributor.guide	Umamakeswari A
dc.coverage.spatial
dc.creator.researcher	Surendar M
dc.date.accessioned	2022-03-22T10:42:48Z
dc.date.available	2022-03-22T10:42:48Z
dc.date.awarded	2020
dc.date.completed	2019
dc.date.registered	2015
dc.description.abstract	Abstract Included newline
dc.description.note	References 84-96p, Appendix 97-105p
dc.format.accompanyingmaterial	None
dc.format.dimensions	28cm
dc.format.extent	xiv, 105p
dc.identifier.uri	http://hdl.handle.net/10603/369276
dc.language	English
dc.publisher.institution	School of Computing
dc.publisher.place	Thanjavur
dc.publisher.university	SASTRA University
dc.relation	125
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Theory and Methods
dc.subject.keyword	Deep Learning
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Industrial internet of things
dc.subject.keyword	Intrusion Detection
dc.subject.keyword	Rule-based approach
dc.title	Data Driven Approaches for Classifying IIoT System Behavior
dc.title.alternative
dc.type.degree	Ph.D.