Pregled bibliografske jedinice broj: 809157
Smart Detection and Classification of Application-Layer Intrusions in Web Directories
Smart Detection and Classification of Application-Layer Intrusions in Web Directories // Smart Computing Review, 5 (2015), 6; 510-519 doi:10.6029/smartcr.2015.06.002 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 809157 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Smart Detection and Classification of Application-Layer Intrusions in Web Directories
Autori
Bujas, Goran ; Vuković, Marin ; Vasić, Valter ; Mikuc, Miljenko
Izvornik
Smart Computing Review (2234-4624) 5
(2015), 6;
510-519
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Intrusion Detection; Dntrusion Classification; Machine Learning; www.hr
Sažetak
The Republic of Croatia homepage and directory of Croatian web servers (www.hr) attracts several thousand visitors daily, which makes it the target of various attacks. In order to lower the risk from such attacks, we propose a concept for an intrusion detection system and a classifier of detected intrusions. We first examined the concepts of existing intrusion detection systems and combined their individual benefits into a concept best suited for protecting web services on the application layer. The proposed concept uses machine learning techniques for both intrusion detection and classification. Intrusion detection, observed through analysis of requests, is implemented by a feed-forward neural network, while intrusion classification is done using self- organizing maps. The case study and preliminary evaluation is presented on the Republic of Croatia homepage (www.hr), followed by guidelines for further research.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb