شماره ركورد كنفرانس :
3376
عنوان مقاله :
A Survey on Data Anonymization Techniques and Challenges for Big Data
Author/Authors :
Hasaninasab, Mehdi (Information Technology Institute - Iran Telecommunication Research Center (ITRC , Sargolzaei Javan, Morteza (Information Technology Institute - Iran Telecommunication Research Center (ITRC , Arianyan, Ehsan (Information Technology Institute - Iran Telecommunication Research Center (ITRC
كليدواژه :
Anonymization , Psudonymization , De-Identification , Privacy
سال انتشار :
ارديبهشت 1397
عنوان كنفرانس :
چهارمين كنفرانس بين المللي وب پژوهي
چكيده لاتين :
Recently Big data attract the researche's interest as a high volume, generated various sources and high rates generated data. Privacy is one of the main issues in big data. Anonymizatin is known as a suitable solution for this problem.In this paper the popular anonymization techniques are describes. These techniques are differents in computational complexity, processing time, and re-identification risk. So it is expected that using this techniques in big data having some challenges. In this review these challenges are also described and some of the main research direction for future work is mentioned.
