K-MNSOA: K-Anonymity Model for Privacy in the Presence of Multiple Numerical Sensitive Overlapped Attributes
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2821-5_6
Reference14 articles.
1. Liu Q, Shen H, Sang Y (2015) Privacy-preserving data publishing for multiple numerical sensitive attributes. Tsinghua Sci Technol 20(3):246–254. https://doi.org/10.1109/TST.2015.7128936, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=arnumber=7128936isnumber=7128931
2. Maheshwarkar N, Maheshwarkar B, Patidar P, Rawat MK (2016) K-AMOA: K-anonymity model for multiple overlapped attributes, conference ICTCS ’16, March 04–05, 2016, Udaipur, India© 2016 ACM. ISBN 978-1-4503-3962. https://doi.org/10.1145/2905055.290514
3. Sweeney L (2002) Achieving K-Anonymity privacy protection using generalization and suppression. Int J Uncertain Fuzziness Knowl Based Syst 10(5):571–588
4. Geetha R, Karthika S, Kumaraguru P (2021) Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media. Knowl Inf Syst 63:2365–2404. https://doi.org/10.1007/s10115-021-01592-2
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