Pregled bibliografske jedinice broj: 773499
Artificial intelligence in network intrusion detection
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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 773499 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Artificial intelligence in network intrusion detection
Autori
Štampar, Miroslav ; Fertalj, Krešimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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, 2015, 1318-1323
ISBN
978-9-5323-3082-3
Skup
38th International Convention on Information and Communication Technology, Electronics and Microelectronics
Mjesto i datum
Opatija, Hrvatska, 25.05.2015. - 29.05.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Artificial Intelligence; Network Intrusion Detection
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Krešimir Fertalj
(autor)