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Personal Data as a Critical Element of Sustainable Systems—Comparison of Selected Data Anonymization Techniques
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In the citing paper
“Encryption encodes data so that only those with the decryption key can decipher it, safeguarding against unauthorized access and interception during network transmission (Dymora & Mazurek, 2021).”
From Data Security and Privacy in the Digital Era: Challenges for Modern Government (2024) · cites this paper as Dymora & Mazurek, 2021
In the citing paper
“Perturbation involves adding noise or altering data slightly to enhance privacy.”
From Data Security and Privacy in the Digital Era: Challenges for Modern Government (2024) · cites this paper as Dymora & Mazurek, 2021
In the citing paper
“Anonymization techniques like data masking replace identifiable information with random or fictitious data, while generalization groups data points to provide broader insights without revealing individual details (Dymora & Mazurek, 2021).”
From Data Security and Privacy in the Digital Era: Challenges for Modern Government (2024) · cites this paper as Dymora & Mazurek, 2021
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Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 10
- B. Wessels, R. Finn, K. Wadhwa, Thordis Sveinsdottir (Open Data and the Knowledge Society, Wydawnictwo Amsterdam University Press, 2017).
- P. Dymora, M. Mazurek, B. Kowal, Open Data—An Introduction to the Issue. in Computing in Science and Technology (CST 2018), ITM Web Conference, vol. 21 (2018). https://doi.org/10.1051/itmconf/20182100017 · doi:10.1051/itmconf/20182100017
- W. Koczkodaj, J. Masiak, M. Mazurek, D. Strzałka, P.F. Zabrodskii, Massive health record breaches evidenced by the office for civil rights data. Iran J Public Health 48(2), 278–288 (2019)
- C.C. Aggarwal, Data Mining. Wydawnictwo (Springer International Publishing, 2015)
- P. Dymora, M. Mazurek, B. Kowal, The effectiveness of the Use R-Language in Anonymizing Open Data. in Computing in Science and Technology (CST 2019), pp. 29–40. ISBN 978–83–7583–930–2
- S. Tamane, V. K. Solanki, N. Dey, (eds.) Privacy and Security Policies in Big Data (IGI Global, 2017) · doi:10.4018/978-1-5225-2486-1
- M. Yamin, A. Abi Sen, Improving privacy and security of user data in location based services. Int. J. Ambient Comput. Intell. (IJACI), 9(1), 19–42 (2018). https://doi.org/10.4018/IJACI.2018010102 · doi:10.4018/ijaci.2018010102
- H. Goldstein, N. Shlomo, A probabilistic procedure for anonymisation, for assessing the risk of re-identification and for the analysis of perturbed data sets. J. Official Statis. 36(1), 89–115 (2020). https://doi.org/10.2478/JOS-2020-0005 · doi:10.2478/jos-2020-0005
- J. Domingo-Ferrer, V. Torra, A Quantitative Comparison of Disclosure Control Methods for Microdata, in Confidentiality Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies. ed. by P. Doyle, J.I. Lane, J.J.M. Theeuwes, L. Zayatz (North-Holland, Amsterdam, 2001), pp. 111–134
- J.P. Daries, J. Reich, J. Waldo et al., privacy, anonymity, and big data in the social sciences. Commun. ACM 57(9), 56–63 (2014) · DOI
Cited by
Data Security and Privacy in the Digital Era: Challenges for Modern Government
Sarjito, A. (2024) · JIAN (Jurnal Ilmiah Administrasi Negara) · doi:10.56071/jian.v8i3.933 · Cited by 9
Metadata
- Authors
- Dymora, P., & Mazurek, M.
- Venue
- Advances in Sustainability Science and Technology
- Publisher
- Springer Singapore
- Published
- 2021
- Pages
- 51-64
- ISSN
- 2662-6829
- 2662-6837
- Cited by
- 0
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Personal Data as a Critical Element of Sustainable Systems—Comparison of Selected Data Anonymization Techniques. https://app.cochat.ai/papers/10.1007/978-981-33-4901-8_4
- The paper
- Dymora, P., & Mazurek, M. (2021). Personal Data as a Critical Element of Sustainable Systems—Comparison of Selected Data Anonymization Techniques. Advances in Sustainability Science and Technology. https://doi.org/10.1007/978-981-33-4901-8_4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
