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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3153
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dc.contributor.authorTellenbach, Bernhard-
dc.contributor.authorRennhard, Marc-
dc.contributor.authorSchweizer, Remo-
dc.date.accessioned2019-06-28T13:38:02Z-
dc.date.available2019-06-28T13:38:02Z-
dc.date.issued2019-
dc.identifier.isbn978-3-030-11820-4de_CH
dc.identifier.isbn978-3-030-11821-1de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17364-
dc.description.abstractIn this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure. In the second part about security for data science, we switch sides and present some applications where data science plays a critical role in pushing the state-of-the-art in securing information systems. This includes a detailed look at the potential and challenges of applying machine learning to the problem of detecting obfuscated JavaScripts.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofApplied data science : lessons learned for the data-driven businessde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectInformation securityde_CH
dc.subjectData sciencede_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleSecurity of data science and data science for securityde_CH
dc.typeBuchbeitragde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-030-11821-1_15de_CH
dc.identifier.doi10.21256/zhaw-3153-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end288de_CH
zhaw.pages.start265de_CH
zhaw.parentwork.editorBraschler, Martin-
zhaw.parentwork.editorStadelmann, Thilo-
zhaw.parentwork.editorStockinger, Kurt-
zhaw.publication.statussubmittedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedInformation Securityde_CH
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Tellenbach, B., Rennhard, M., & Schweizer, R. (2019). Security of data science and data science for security. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 265–288). Springer. https://doi.org/10.1007/978-3-030-11821-1_15
Tellenbach, B., Rennhard, M. and Schweizer, R. (2019) ‘Security of data science and data science for security’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 265–288. Available at: https://doi.org/10.1007/978-3-030-11821-1_15.
B. Tellenbach, M. Rennhard, and R. Schweizer, “Security of data science and data science for security,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 265–288. doi: 10.1007/978-3-030-11821-1_15.
TELLENBACH, Bernhard, Marc RENNHARD und Remo SCHWEIZER, 2019. Security of data science and data science for security. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 265–288. ISBN 978-3-030-11820-4
Tellenbach, Bernhard, Marc Rennhard, and Remo Schweizer. 2019. “Security of Data Science and Data Science for Security.” In Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 265–88. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_15.
Tellenbach, Bernhard, et al. “Security of Data Science and Data Science for Security.” Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler et al., Springer, 2019, pp. 265–88, https://doi.org/10.1007/978-3-030-11821-1_15.


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