Malware Classification Using Convolutional Neural Network

Yapıcı M. M., Tekerek A., Ayaz Z.

Interdisciplinary Conference on Mechanics, Computers and Electrics, Ankara, Türkiye, 27 Kasım 2021 , Ankara, Türkiye, 27 - 28 Kasım 2021, cilt.1, sa.1, ss.1

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1
  • Ankara Üniversitesi Adresli: Evet

Özet

Malicious Software (Mal-ware) is an abusive term defined as malicious pieces of code or program scripts that can damage information technology systems. Malware is prepared to steal information, capture private data such as username and password and damage information technologies hardware. Therefore, it can cause computers to crash or slow down as well. Classification of malware is very important in terms of ensuring the security of information systems. In literature, many studies have been done to classify malware so far. In this study, convolutional neural network, one of the deep learning methods, was used to classify malware malimg dataset. According to the experimental results proposed model have 98% accuracy results.