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Artificial intelligence in network intrusion detection (CROSBI ID 626500)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Štampar, Miroslav ; Fertalj, Krešimir Artificial intelligence in network intrusion detection // 38th International Convention on Information and Communication Technology, Electronics and Microelectronics / Biljanović, Petar et.al. (ur.). Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2015. str. 1318-1323

Podaci o odgovornosti

Štampar, Miroslav ; Fertalj, Krešimir

engleski

Artificial intelligence in network intrusion detection

In the beginning of the Internet era 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 author will try to give a general overview of AI algorithms, with main focus on their usage for network intrusion detection.

Artificial Intelligence; Network Intrusion Detection

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Podaci o prilogu

1318-1323.

2015.

objavljeno

Podaci o matičnoj publikaciji

38th International Convention on Information and Communication Technology, Electronics and Microelectronics

Biljanović, Petar et.al.

Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO

978-9-5323-3082-3

Podaci o skupu

38th international convention on information and communication technology, electronics and microelectronics

predavanje

25.05.2015-29.05.2015

Opatija, Hrvatska

Povezanost rada

Računarstvo