Journal articles on the topic 'K-Anonymisation'
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Loukides, Grigorios, and Jian-Hua Shao. "An Efficient Clustering Algorithm for k-Anonymisation." Journal of Computer Science and Technology 23, no. 2 (March 2008): 188–202. http://dx.doi.org/10.1007/s11390-008-9121-3.
Natwichai, Juggapong, Xue Li, and Asanee Kawtrkul. "Incremental processing and indexing for (k, e)-anonymisation." International Journal of Information and Computer Security 5, no. 3 (2013): 151. http://dx.doi.org/10.1504/ijics.2013.055836.
Stark, Konrad, Johann Eder, and Kurt Zatloukal. "Achieving k-anonymity in DataMarts used for gene expressions exploitation." Journal of Integrative Bioinformatics 4, no. 1 (March 1, 2007): 132–44. http://dx.doi.org/10.1515/jib-2007-58.
de Haro-Olmo, Francisco José, Ángel Jesús Varela-Vaca, and José Antonio Álvarez-Bermejo. "Blockchain from the Perspective of Privacy and Anonymisation: A Systematic Literature Review." Sensors 20, no. 24 (December 14, 2020): 7171. http://dx.doi.org/10.3390/s20247171.
Zhang, Yuliang, Tinghuai Ma, Jie Cao, and Meili Tang. "K-anonymisation of social network by vertex and edge modification." International Journal of Embedded Systems 8, no. 2/3 (2016): 206. http://dx.doi.org/10.1504/ijes.2016.076114.
Ganabathi, G. Chitra, and P. Uma Maheswari. "Efficient clustering technique for k-anonymisation with aid of optimal KFCM." International Journal of Business Intelligence and Data Mining 15, no. 4 (2019): 430. http://dx.doi.org/10.1504/ijbidm.2019.102809.
Singh, Amardeep, Monika Singh, Divya Bansal, and Sanjeev Sofat. "Optimised K-anonymisation technique to deal with mutual friends and degree attacks." International Journal of Information and Computer Security 14, no. 3/4 (2021): 281. http://dx.doi.org/10.1504/ijics.2021.114706.
Sofat, Sanjeev, Divya Bansal, Monika Singh, and Amardeep Singh. "Optimised K-anonymisation technique to deal with mutual friends and degree attacks." International Journal of Information and Computer Security 14, no. 3/4 (2021): 281. http://dx.doi.org/10.1504/ijics.2021.10037248.
Yaji, Sharath, and B. Neelima. "Parallel computing for preserving privacy using k-anonymisation algorithms from big data." International Journal of Big Data Intelligence 5, no. 3 (2018): 191. http://dx.doi.org/10.1504/ijbdi.2018.092659.
Yaji, Sharath, and B. Neelima.B. "Parallel computing for preserving privacy using k-anonymisation algorithms from big data." International Journal of Big Data Intelligence 5, no. 3 (2018): 191. http://dx.doi.org/10.1504/ijbdi.2018.10008733.
Matet, Benoit, Angelo Furno, Marco Fiore, Etienne Côme, and Latifa Oukhellou. "Adaptative generalisation over a value hierarchy for the k-anonymisation of Origin–Destination matrices." Transportation Research Part C: Emerging Technologies 154 (September 2023): 104236. http://dx.doi.org/10.1016/j.trc.2023.104236.
Solanki, Paresh, Sanjay Garg, and Hitesh Chhinkaniwala. "Heuristic-based hybrid privacy-preserving data stream mining approach using SD-perturbation and multi-iterative k-anonymisation." International Journal of Knowledge Engineering and Data Mining 5, no. 4 (2018): 306. http://dx.doi.org/10.1504/ijkedm.2018.095522.
Madan, Suman, and Puneet Goswami. "A privacy preservation model for big data in map-reduced framework based on k-anonymisation and swarm-based algorithms." International Journal of Intelligent Engineering Informatics 8, no. 1 (2020): 38. http://dx.doi.org/10.1504/ijiei.2020.10027094.
Madan, Suman, and Puneet Goswami. "A privacy preservation model for big data in map-reduced framework based on k-anonymisation and swarm-based algorithms." International Journal of Intelligent Engineering Informatics 8, no. 1 (2020): 38. http://dx.doi.org/10.1504/ijiei.2020.105433.
Bartholomäus, Sebastian, Yannik Siegert, Hans Werner Hense, and Oliver Heidinger. "Secure Linking of Data from Population-Based Cancer Registries with Healthcare Data to Evaluate Screening Programs." Das Gesundheitswesen 82, S 02 (December 10, 2019): S131—S138. http://dx.doi.org/10.1055/a-1031-9526.
Mauw, Sjouke, Yunior Ramírez-Cruz, and Rolando Trujillo-Rasua. "Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation." Knowledge and Information Systems 64, no. 4 (February 27, 2022): 1077–100. http://dx.doi.org/10.1007/s10115-022-01662-z.
Matet, Benoit, Angelo Furno, Marco Fiore, Etienne Come, and Latifa Oukhellou. "Adaptative Generalisation Over a Value Hierarchy for the K-Anonymisation of Origin-Destination Matrices." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4273504.
Ren, Wang, Xin Tong, Jing Du, Na Wang, Shancang Li, Geyong Min, and Zhiwei Zhao. "Privacy Enhancing Techniques in the Internet of Things Using Data Anonymisation." Information Systems Frontiers, May 11, 2021. http://dx.doi.org/10.1007/s10796-021-10116-w.
"Preservation of Privacy using Multidimensional K-Anonymity Method for Non-Relational Data." International Journal of Recent Technology and Engineering 8, no. 2S10 (October 11, 2019): 544–47. http://dx.doi.org/10.35940/ijrte.b1096.0982s1019.
Lu, Yang. "Semantic-based Privacy-preserving Record Linkage." International Journal of Population Data Science 7, no. 3 (August 25, 2022). http://dx.doi.org/10.23889/ijpds.v7i3.1956.
Avraam, Demetris, Elinor Jones, and Paul Burton. "A deterministic approach for protecting privacy in sensitive personal data." BMC Medical Informatics and Decision Making 22, no. 1 (January 28, 2022). http://dx.doi.org/10.1186/s12911-022-01754-4.
O’Keefe, Christine M. "Privacy, Governance and Public Acceptability in Population Data Linkage for Research." International Journal of Population Data Science 1, no. 1 (April 12, 2017). http://dx.doi.org/10.23889/ijpds.v1i1.405.