A Survey on Privacy Preservation in Data Publishing
نویسنده
چکیده
Privacy-maintaining data release is one of the most important challenges in an information system, because of the wide collection of sensitive information on the internet. A number of solutions have been designed for privacy-maintaining data release. This paper provides an inspection of the state-of-theart methods for privacy protection. The paper discusses novel and powerful privacy definitions which can be categorized into microdata anonymity methods and differential privacy methods for privacymaintaining data release. The methods include k-anonymity, l-diversity, t-closeness and js-reduce defense. This paper proposes an enhanced method which will prevents sequential background knowledge attack and provides some anonymization also. Keywords-: K-Anonymity; L-Diversity; T-Closeness; JS-Reduce
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