Open AccessBIG DATA PRIVACY ANONYMIZATION ALGORITHMS: A REVIEW
Author(s) -
Manish Kumar Abhishek,
Poornima Kulkarni
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v05i04.019
Subject(s) - computer science , data anonymization , big data , k anonymity , information privacy , internet privacy , data mining , computer security , algorithm
This paper provides an overview of big data privacy challenges, variety and classification of privacy algorithms. Information of each individual wish that his private information is not revealed in some or the other way. Privacy preservation plays a vital role in preventing individual private data. Anonymization is a process of removing personally identifiable information from the data set. Under anonymization category k-anonymity, Ldiversity and T-closeness algorithms is discussed in detail. The comparison of anonymization algorithms is carried out for eight parameters. Keywords— Anonymization, Privacy