A Turkish Language Based Data Leakage Prevention System

Canbay Y., Yazici H., SAĞIROĞLU Ş.

5th International Symposium on Digital Forensic and Security (ISDFS), Tirgu Mures, Romanya, 26 - 28 Nisan 2017 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/isdfs.2017.7916514
  • Basıldığı Şehir: Tirgu Mures
  • Basıldığı Ülke: Romanya
  • Anahtar Kelimeler: Data Leakage Prevention, Boyer Moore Algorithm, Smith Waterman Algorithm, Latent Semantic Indexing, Attack, TF-IDF, Zemberek, Turkish Language, DLP
  • Gazi Üniversitesi Adresli: Evet

Özet

Data is the most valuable asset for organization and needs to be secured. Especially organizations should pay attention to data leakage issues because the leakage of sensitive data could give great damages or harm more than expected. There have been various factors causing data leakage but the recent research showed that the rate of insider attacks was the highest score and most of the data leakage incidents occurred in network based channels such as e-mails, clouds, instant messaging, etc. Insiders can consider transform or modify sensitive data. The main purpose of these attacks is to leak sensitive data from the systems without any alert of security systems.