Artificial Bee Colony Algorithm For Anomaly Based Intrusion Detection


Creative Commons License

Çelik M., Kurban R., Kurban T.

International Congress on Multidisciplinary Natural Sciences and Engineering, ICOMNAS 2021, Ankara, Türkiye, 1 - 02 Aralık 2021, ss.90

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.90
  • Abdullah Gül Üniversitesi Adresli: Hayır

Özet

Computer networks are facing an increasing number of threats. Therefore, establishing and maintaining a secure computing environment is very important. Researchers use variety of methods to ensure the security of networked systems with anomaly-based intrusion detection systems (IDS). Data classification is one of the main problems of these anomaly-based detection. Artificial bee colony algorithm is an effective optimization algorithm that models foraging behavior of bees in nature. In this paper, an artificial bee colony algorithm based, semi-supervised intrusion detection method is proposed to optimize the cluster centers and identify the best clustering solutions. Experimental studies are carried out on different sub-sets of KDD Cup 99 database to evaluate the performance of the proposed method. Test results show that the proposed algorithm can be used as a model for anomaly-based intrusion detection system.