Artificial intelligence in network intrusion detection (CROSBI ID 626500)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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