• 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
  • زبان مدرك
    لاتين
  • 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.
  • كشور
    ايران
  • تعداد صفحه 2
    7
  • از صفحه
    1
  • تا صفحه
    7