Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-3153| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | Security of data science and data science for security |
| Authors: | Tellenbach, Bernhard Rennhard, Marc Schweizer, Remo |
| DOI: | 10.1007/978-3-030-11821-1_15 10.21256/zhaw-3153 |
| Published in: | Applied data science : lessons learned for the data-driven business |
| Editors of the parent work: | Braschler, Martin Stadelmann, Thilo Stockinger, Kurt |
| Page(s): | 265 |
| Pages to: | 288 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-11820-4 978-3-030-11821-1 |
| Language: | English |
| Subjects: | Information security; Data science |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | In 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/17364 |
| Fulltext version: | Submitted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Data Science Security and Security Data Science.pdf | preprint | 369.4 kB | Adobe PDF |  View/Open |
Show full item record
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.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.