Machine learning for cyber security frameworks: a review

Ogidan E. T., Dimililer K., Kirsal-Ever Y.

Drones in Smart-Cities: Security and Performance, Elsevier, ss.27-36, 2020 identifier

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/b978-0-12-819972-5.00002-1
  • Yayınevi: Elsevier
  • Sayfa Sayıları: ss.27-36
  • Anahtar Kelimeler: cyber security, machine learning
  • Orta Doğu Teknik Üniversitesi Kuzey Kıbrıs Kampüsü Adresli: Hayır

Özet

Machine learning is an amazing tool that has been used in a lot of applications to automate processes and solve problems quickly, accurately, and efficiently. Machine learning has served as an all-inclusive field of study with its applications ranging from medicine, autonomous vehicles, image recognition and many more. The most popular areas that machine learning has been applied to are image recognition and natural language processing. With the new developments in technology, there have also been concerns regarding security. These concerns have motivated researchers and big tech companies to make efforts toward finding the best tools to ensure information security. In some recent research, machine learning and cyber security have been paired. Common cyber security tasks have been studied to find how the opportunities provided by machine learning can be leveraged to help provide more secure systems.