2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) 2015
DOI: 10.1109/mipro.2015.7160479
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Artificial intelligence in network intrusion detection

Abstract: 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… Show more

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Cited by 22 publications
(21 citation statements)
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“…The question is how to make our networks secure from such threats. Intrusion Detection System (IDS) is designed for this purpose [1,2].…”
Section: Introductionmentioning
confidence: 99%
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“…The question is how to make our networks secure from such threats. Intrusion Detection System (IDS) is designed for this purpose [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…The most prominent problem of the traditional IDS is their incompetence to identify unique or unfamiliar attacks, as they are signature based [2]. Also, the problem that currently faces in Intrusion Detection System (IDS) is high false positives (FP) and high false negatives (FN).…”
Section: Introductionmentioning
confidence: 99%
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