In recent years, the needs of the Internet are felt in lives of all people.
Accordingly, many studies have been done on security in virtual environment. Old
technics such as firewalls, authentication and encryption could not provide Internet
security completely; So, Intrusion detection system is created as a new solution and
a defense wall in cyber environment. Many studies were performed on different
algorithms but the results show that using machine learning technics and swarm
intelligence are very effective to reduce processing time and increase accuracy as
well. In this paper, hybrid SVM and ABC algorithms has been suggested to select
features to enhance network intrusion detection and incr