Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic
DC Field | Value | Language |
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dc.contributor.author | Ahakonye, Love Allen Chijioke | - |
dc.contributor.author | Nwakanma, Cosmas Ifeanyi | - |
dc.contributor.author | Lee, Jae-Min | - |
dc.contributor.author | Kim, Dong-Seong | - |
dc.date.accessioned | 2024-01-11T05:30:38Z | - |
dc.date.available | 2024-01-11T05:30:38Z | - |
dc.date.issued | 2024-04 | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.issn | 1941-0050 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/26478 | - |
dc.description.abstract | The accelerated industrial transformation has witnessed the supervisory control and data acquisition (SCADA) transit from monolithic to the Internet of Things (IoT-SCADA). The development also transformed conventional specialized serial-based to transmission control protocol/internet protocol reliant standard communication protocols, such as IEC-60870-5-104 (IEC-104), thereby increasing vulnerability to attacks and intrusions. Maintaining the reliability and availability of IoT-SCADA demands versatile and robust monitoring of network traffic. This study proposes a monitoring technique to detect and characterize the IEC-104 IoT-SCADA network traffic. The proposed trees bootstrap aggregation monitoring technique of GridSearchCV() hyperparameter tuning of 11 n-estimator, 20 max-depth, and 5-k cross-validation achieved early detection and characterization. Experimental results demonstrate its sensitivity and precision in detecting and classifying various network traffic and application types at a minimal execution time while reducing false alarm rates, which is vital for mitigating intrusions in heterogeneous IoT-SCADA networks. | - |
dc.format.extent | 12 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/TII.2023.3333438 | - |
dc.identifier.scopusid | 2-s2.0-85179101491 | - |
dc.identifier.wosid | 001120456300001 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.20, no.4, pp 5217 - 5228 | - |
dc.citation.title | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 5217 | - |
dc.citation.endPage | 5228 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.subject.keywordAuthor | Protocols | - |
dc.subject.keywordAuthor | Monitoring | - |
dc.subject.keywordAuthor | Industrial Internet of Things | - |
dc.subject.keywordAuthor | Security | - |
dc.subject.keywordAuthor | SCADA systems | - |
dc.subject.keywordAuthor | Encryption | - |
dc.subject.keywordAuthor | Standards | - |
dc.subject.keywordAuthor | Bootstrap aggregation | - |
dc.subject.keywordAuthor | decision trees | - |
dc.subject.keywordAuthor | ensemble | - |
dc.subject.keywordAuthor | IEC-60870-5-104 protocol | - |
dc.subject.keywordAuthor | industrial Internet of Things (IIoT) | - |
dc.subject.keywordAuthor | Internet of Things supervisory control and data acquisition (IoT-SCADA) | - |
dc.subject.keywordAuthor | machine learning (ML) | - |
dc.subject.keywordAuthor | network communication | - |
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