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      A Comparative Analysis of Emulated and Real IEC-104 Spontaneous Traffic in Power System Networks

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          Abstract

          Supervisory and Data Acquisition (SCADA) systems control and monitor modern power networks. As attacks targeting SCADA systems are increasing, significant research is conducted to defend SCADA networks including variations of anomaly detection. Due to the sensitivity of real data, many defence mechanisms have been tested only in small testbeds or emulated traffic that were designed with assumptions on how SCADA systems behave. This work provides a timing characterization of IEC-104 spontaneous traffic and compares the results from emulated traffic and real traffic to verify if the network characteristics appearing in testbeds and emulated traffic coincide with real traffic. Among three verified characteristics, two of them appear in the real dataset but in a less regular way, and one does not appear in the collected real data. The insights from these observations are discussed in terms of presumed differences between emulated and real traffic and how those differences are generated.

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          Most cited references8

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          The Measurement of Observer Agreement for Categorical Data

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            Accurate modeling of Modbus/TCP for intrusion detection in SCADA systems

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              Multidimensional Intrusion Detection System for IEC 61850-Based SCADA Networks

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                Author and article information

                Contributors
                habtamu.abie@nr.no
                ranise@fbk.eu
                luca.verderame@unige.it
                enrico.cambiaso@cnr.it
                rita.ugarelli@sintef.no
                gabriele.giunta@eng.it
                icp@isep.ipp.pt
                federica.battisti@unipd.it
                chih-yuan.lin@liu.se
                simin.nadjm-tehrani@liu.se
                Journal
                978-3-030-69781-5
                10.1007/978-3-030-69781-5
                Cyber-Physical Security for Critical Infrastructures Protection
                Cyber-Physical Security for Critical Infrastructures Protection
                First International Workshop, CPS4CIP 2020, Guildford, UK, September 18, 2020, Revised Selected Papers
                978-3-030-69780-8
                978-3-030-69781-5
                28 January 2021
                28 January 2021
                : 12618
                : 207-223
                Affiliations
                [8 ]GRID grid.425871.d, ISNI 0000 0001 0730 1058, Norwegian Computing Center, ; Oslo, Norway
                [9 ]GRID grid.11696.39, ISNI 0000 0004 1937 0351, University of Trento and Fondazione Bruno Kessler, ; Trento, Italy
                [10 ]GRID grid.5606.5, ISNI 0000 0001 2151 3065, Università degli Studi di Genova, ; Genoa, Italy
                [11 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, IEIIT Institute, , Consiglio Nazionale delle Ricerche (CNR), ; Genoa, Italy
                [12 ]SINTEF A.S., Oslo, Norway
                [13 ]GRID grid.4347.4, ISNI 0000000119394239, Engineering Ingegneria Informatica S.p.A., ; Rome, Italy
                [14 ]GRID grid.410926.8, ISNI 0000 0001 2191 8636, Instituto Superior de Engenharia do Porto, ; Porto, Portugal
                [15 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, University of Padua, ; Padua, Italy
                GRID grid.5640.7, ISNI 0000 0001 2162 9922, Department of Computer and Information Science, , Linköping University, ; Linköping, Sweden
                Article
                14
                10.1007/978-3-030-69781-5_14
                7888297
                c0a1e79a-ef57-4a75-967e-efd653977b39
                © The Author(s) 2021

                Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

                The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

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                © Springer Nature Switzerland AG 2021

                scada,traffic characterization,iec-104,timing analysis
                scada, traffic characterization, iec-104, timing analysis

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