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(p+, α, t)-Anonymity Technique Against Privacy Attacks

Author

Listed:
  • Sowmyarani C. N.

    (R. V. College of Engineering, Bengaluru, India)

  • Veena Gadad

    (R. V. College of Engineering, Bengaluru, India)

  • Dayananda P.

    (JSS Academy of Technical Education, Bengaluru, India)

Abstract

Privacy preservation is a major concern in current technology where enormous amounts of data are being collected and published for carrying out analysis. These data may contain sensitive information related to individual who owns them. If the data is published in their original form, they may lead to privacy disclosure which threats privacy requirements. Hence, the data should be anonymized before publishing so that it becomes challenging for intruders to obtain sensitive information by means of any privacy attack model. There are popular data anonymization techniques such as k-anonymity, l-diversity, p-sensitive k-anonymity, (l, m, d) anonymity, and t-closeness, which are vulnerable to different privacy attacks discussed in this paper. The proposed technique called (p+, α, t)-anonymity aims to anonymize the data in such a way that even though intruder has sufficient background knowledge on the target individual he will not be able to infer anything and breach private information. The anonymized data also provide sufficient data utility by allowing various data analytics to be performed.

Suggested Citation

  • Sowmyarani C. N. & Veena Gadad & Dayananda P., 2021. "(p+, α, t)-Anonymity Technique Against Privacy Attacks," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 15(2), pages 68-86, April.
  • Handle: RePEc:igg:jisp00:v:15:y:2021:i:2:p:68-86
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    Cited by:

    1. Ioan-Cătălin Murărașu, 2021. "The Impact of European Environmental Policies on Energy Prices. Possible Solutions in the Black Sea Region," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 24(82), pages 80-90, December,.

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