Real-Time Monitoring and Scalable Messaging of SCADA Networks Data: A Case Study on Cyber-Physical Attack Detection in Water Distribution System

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dc.authorscopusid57697370700
dc.authorscopusid55364954900
dc.authorscopusid55516480700
dc.contributor.authorBalta, Seda
dc.contributor.authorZavrak, S.
dc.contributor.authorEken, S.
dc.date.accessioned2023-07-26T11:55:20Z
dc.date.available2023-07-26T11:55:20Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description1st International Congress of Electrical and Computer Engineering, ICECENG 2022 -- 9 February 2022 through 12 February 2022 -- 277759en_US
dc.description.abstractSCADA networks, which are widely used by governments around the world to run computers and applications that perform a wide range of important functions and provide critical services to their infrastructure, are becoming increasingly popular among organizations. Because of their critical role in the infrastructure, as well as the fact that they are a potential target for cyberattacks, they must be secured and protected in some way at all times. In this study, we propose a topic-based pub/sub messaging system based on Apache Spark and Apache Kafka for real-time monitoring and detection of cyber-physical attacks in SCADA systems, which can be used in conjunction with other currently available systems. There are a variety of traditional machine learning approaches used in conjunction with a deep learning encoded decoder algorithm to create the mechanism for attack detection. The performance results demonstrate that our system outperforms the current state of the art described in the literature in this field. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.en_US
dc.identifier.doi10.1007/978-3-031-01984-5_17
dc.identifier.endpage215en_US
dc.identifier.isbn9.78303E+12
dc.identifier.issn1867-8211
dc.identifier.scopus2-s2.0-85130216539en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage203en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-01984-5_17
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13050
dc.identifier.volume436 LNICSTen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorZavrak, Sultan
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICSTen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectData streamsen_US
dc.subjectIndustrial control systemsen_US
dc.subjectIoTen_US
dc.subjectPub-sub patternen_US
dc.subjectReal-time data processingen_US
dc.subjectSCADA networks securityen_US
dc.subjectComputer crimeen_US
dc.subjectCyber attacksen_US
dc.subjectDeep learningen_US
dc.subjectEmbedded systemsen_US
dc.subjectInternet of thingsen_US
dc.subjectIntrusion detectionen_US
dc.subjectNetwork securityen_US
dc.subjectReal time systemsen_US
dc.subjectSCADA systemsen_US
dc.subjectWater distribution systemsen_US
dc.subjectCyber physicalsen_US
dc.subjectData streamen_US
dc.subjectIndustrial control systemsen_US
dc.subjectNetworks securityen_US
dc.subjectPub-sub patternen_US
dc.subjectPub/suben_US
dc.subjectReal time monitoringen_US
dc.subjectReal-time data processingen_US
dc.subjectSCADA network securityen_US
dc.subjectSub-patternsen_US
dc.subjectCyber Physical Systemen_US
dc.titleReal-Time Monitoring and Scalable Messaging of SCADA Networks Data: A Case Study on Cyber-Physical Attack Detection in Water Distribution Systemen_US
dc.typeConference Objecten_US

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