Abstract
Need of collection and sharing of data is increasing day by day as it is the requirement of today’s society. While publishing data, one has to guarantee that sensitive information should be made secret so that no one is able to misuse it. For this purpose, one can use various methods and techniques of anonymization. A number of recent researchers are focusing on proposing different anonymity algorithms and techniques to keep published data secret. In this paper, a review of various methods of anonymity with different anonymity operators and various types of linkage attacks has been done. An analysis of the performance of various anonymity algorithms on the basis of various parameters on different data sets using ARX data anonymity software has been done in the end.
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Narula, D., Kumar, P., Upadhyaya, S. (2018). Privacy Preservation Using Various Anonymity Models. In: Bokhari, M., Agrawal, N., Saini, D. (eds) Cyber Security. Advances in Intelligent Systems and Computing, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-8536-9_13
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DOI: https://doi.org/10.1007/978-981-10-8536-9_13
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