PRIMENA TEHNIKA MAŠINSKOG UČENJA NA PROBLEM KLASIFIKACIJE RAZLIČITIH SCENARIJA BOTNET NAPADA
DOI:
https://doi.org/10.24867/32BE12MladenovicKljučne reči:
Mašinsko učenje, klasifikacija, botnet, sajber bezbednostApstrakt
Sajber napadi postaju deo svakodnevice, a sa učestalošću raste i njihova sofisticiranost. Upravo zato je potrebno više napretka i kontinuirane inovacije u odbrambenim strategijama. Tradicionalne metode otkrivanja upada i dubinske inspekcije paketa, iako se još uvek u velikoj meri koriste i preporučuju, više nisu dovoljne da zadovolje zahteve rastućih pretnji po bezbednost.
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