Enhanced Intrusion Detection Models for Iot Networks Via Deep Learning Approaches

dc.contributor.guide	Pushpalatha, M
dc.coverage.spatial
dc.creator.researcher	Jothi, B
dc.date.accessioned	2022-08-11T10:21:51Z
dc.date.available	2022-08-11T10:21:51Z
dc.date.awarded
dc.date.completed	2022
dc.date.registered
dc.description.abstract	Internet of things (IoT) has gained more attention in recent years because of its ubiquitous operations, connectivity, methods of communication, and intelligent decisions to evoke activities from various devices. As a result, the Internet of Things (IoT) is becoming more popular in various fields, including health care, automation, manufacturing, business, homes, and commercial systems. Therefore, artificial intelligence techniques have been integrated into all aspects of the Internet of Things and making life more comfortable in various ways newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/398107
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering
dc.publisher.place	Kattankulathur
dc.publisher.university	SRM Institute of Science and Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Engineering and Technology
dc.title	Enhanced Intrusion Detection Models for Iot Networks Via Deep Learning Approaches
dc.title.alternative
dc.type.degree	Ph.D.