Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data
Version 2 2024-06-03, 12:13
Version 1 2023-05-15, 03:06
conference contribution
posted on 2023-05-15, 03:06 authored by R G Gayathri, Atul SajjanharAtul Sajjanhar, Yong XiangYong Xiang, X MaAnomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data
History
Pagination
718 - 725Location
Shenyang, ChinaPublisher DOI
Start date
2021-10-20End date
2021-10-22ISBN-13
9781665416580Publication classification
E1 Full written paper - refereedTitle of proceedings
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)Usage metrics
Categories
No categories selectedKeywords
MeasurementVisualizationPrivacyOrganizationsBenchmark testingGenerative adversarial networksSecurityScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Information SystemsComputer Science, Theory & MethodsTelecommunicationsComputer Scienceinsider threatanomaly detectionadversarial traininggenerative adversarial networkdata augmentationTHREAT DETECTION
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC