Efficient network attack detection based on deep learning techniques

dc.contributor.guideMohanraj,E
dc.coverage.spatialEfficient network attack detection based on deep learning techniques
dc.creator.researcherPoornima,R
dc.date.accessioned2023-10-22T06:03:02Z
dc.date.available2023-10-22T06:03:02Z
dc.date.awarded2023
dc.date.completed2023
dc.date.registered
dc.description.abstractThe significant growth in the use of the Internet and the rapid newlinedevelopment of network technologies are associated with an increased risk of newlinenetwork attacks. Network attacks refer to all types of unauthorized access to a newlinenetwork including any attempts to damage and disrupt the network, often newlineleading to serious consequences. The Internet helps foster connection and newlinecommunication, but the integrity and confidentiality of these connections and newlineinformation exchanges can be violated and compromised by attackers who newlineseek to damage and disrupt network connections and network security. newlineEvolution of different types of network attacks and an increase in the data newlineexchange between the computing devices pose the requirement to secure newlinenetwork and computing devices. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions21cm
dc.format.extentxxii, 195p.
dc.identifier.urihttp://hdl.handle.net/10603/519829
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.177-194.
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordDeep Learning
dc.subject.keywordInformation And Communication Engineering
dc.subject.keywordMachine Learning
dc.titleEfficient network attack detection based on deep learning techniques
dc.title.alternative
dc.type.degreePh.D.

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