In past, detection of network attacks has been almost solely done by human operators. They anticipated network anomalies in front of consoles, where based on their expert knowledge applied necessary security measures. With the exponential growth of network bandwidth, this task slowly demanded substantial improvements in both speed and accuracy. One proposed way how to achieve this is the usage of artificial intelligence (AI), progressive and promising computer science branch, particularly one of its sub-fields -machine learning (ML) -where main idea is learning from data. In this paper authors will try to give a general overview of AI algorithms, with main focus on their usage for network intrusion detection.

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The AIM of the ITI Conference is to promote the communication and interaction among researchers involved in the development and application of methods and techniques within the broad framework of information and communication technology. ITI seeks papers that will advance the state of the art in the field, and help foster increased interaction among academic, engineering and business communities.

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