Conceptual Model Suggestions for Privacy Preserving Big Data Publishing

Canbay Y., Vural Y., SAĞIROĞLU Ş.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, cilt.23, sa.3, ss.785-798, 2020 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 3
  • Basım Tarihi: 2020
  • Dergi Adı: JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.785-798
  • Gazi Üniversitesi Adresli: Evet

Özet

Recent developments in IT has increased the speed of data production and processing, as a result, big data concept with components such as volume, velocity, variety and value has emerged. In order to get more benefit from big data, it is necessary to share or publish the data by preserving or respecting privacy. The literature reviews report that there is no model that facilitates publishing big data by preserving privacy. Designing Privacy Preserving Big Data Publishing (PPBDP) models is important to direct all the parties and to meet the requirements of them correctly, and to create the right infrastructures and services. In addition, it is necessary to consider some factors such as cost and security when designing these models.