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master's thesis
Sustav za detekciju i klasifikaciju napada na web-aplikacije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:119834
Slovenec, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Slovenec, K. (2019). Sustav za detekciju i klasifikaciju napada na web-aplikacije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:119834

Slovenec, Karlo. "Sustav za detekciju i klasifikaciju napada na web-aplikacije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:119834

Slovenec, Karlo. "Sustav za detekciju i klasifikaciju napada na web-aplikacije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:119834

Slovenec, K. (2019). 'Sustav za detekciju i klasifikaciju napada na web-aplikacije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:119834

Slovenec K. Sustav za detekciju i klasifikaciju napada na web-aplikacije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 June 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:119834

K. Slovenec, "Sustav za detekciju i klasifikaciju napada na web-aplikacije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:119834

Metadata
TitleSustav za detekciju i klasifikaciju napada na web-aplikacije
Title (english)Web-application intrusion detection and classification system
AuthorKarlo Slovenec
MentorMarin Vuković (mentor)
Committee memberMarin Vuković (predsjednik povjerenstva)
Committee memberDragan Jevtić (član povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu razmotreni su sustavi za detekciju kibernetičkih napada i metode koje se koriste prilikom detekcije. Predložen je novi sustav koji za detekciju koristi neuronske mreže. Sustav je lako prilagodljiv, brz i ima zadovoljavajuću stopu detekcije uz dovoljno niski udio lažno pozitivnih rezultata. Kao takav može se primjenjivati za detekciju i prevenciju napada na web-aplikacije. Napravljene su i inačice sustava koje mogu služiti kao analizatori dnevničkih zapisa cijelog sustava ili pojedinog korisnika.
Abstract (english)
In this thesis Intrusion detection systems and methods they use for detection and classification are reviewed. New system based on neural networks is suggested. System is fast, easy to configure and applicable to new applications and detects satisfiable amount of attacks while having low amount of false positive results. As such, system is applicable as system for detection and prevention of attacks on web-applications. Since given system has good results, two additional versions of system were made, one as log analyzer and one as individual user analyzer.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:119834
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2020-01-07 22:03:40