A Review on Cyber Security Datasets for Machine Learning Algorithms


Yavanoglu O., AYDOS M.

IEEE International Conference on Big Data (IEEE Big Data), Massachusetts, Amerika Birleşik Devletleri, 11 - 14 Aralık 2017, ss.2186-2193 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/bigdata.2017.8258167
  • Basıldığı Şehir: Massachusetts
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.2186-2193
  • Hacettepe Üniversitesi Adresli: Evet

Özet

It is an undeniable fact that currently information is a pretty significant presence for all companies or organizations. Therefore protecting its security is crucial and the security models driven by real datasets has become quite important. The operations based on military, government, commercial and civilians are linked to the security and availability of computer systems and network. From this point of security, the network security is a significant issue because the capacity of attacks is unceasingly rising over the years and they turn into be more sophisticated and distributed. The objective of this review is to explain and compare the most commonly used datasets. This paper focuses on the datasets used in artificial intelligent and machine learning techniques, which are the primary tools for analyzing network traffic and detecting abnormalities.