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master's thesis
Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:309256
Brlek, Arijana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Brlek, A. (2017). Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:309256

Brlek, Arijana. "Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:309256

Brlek, Arijana. "Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:309256

Brlek, A. (2017). 'Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:309256

Brlek A. Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:309256

A. Brlek, "Detekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:309256

Metadata
TitleDetekcija distribuiranih napada uskraćivanjem usluge na aplikacijskom nivou
Title (english)Detection of Application-Level Distributed Denial-of-Service Attacks
AuthorArijana Brlek
MentorAnte Đerek (mentor)
Committee memberAnte Đerek (predsjednik povjerenstva)
Committee memberStjepan Groš (član povjerenstva)
Committee memberMarin Golub (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Distribuirani napadi uskraćivanjem usluge sve do danas ostali su neriješeni sigurnosni problem. U posljednje vrijeme sve su popularniji napadi koji ciljaju aplikacijski sloj jer zahtijevaju puno manje pojasne širine za uspješan napad u usporedbi s napadima na mrežni sloj. Cilj ovog rada je objasniti zbog čega je detekcija takvih napada težak problem i zašto se neuronske mreže pokazuju dobrom metodom za detekciju. U tu svrhu simulirani su DDoS napadi s nekoliko dostupnih alata i razvijen je postupak kojim se promet generiran simulacijom napada miješa s legitimnim prometom. Implementiran je sustav za detekciju napada uz pomoć neuronske mreže i testiran nad stvarnim prometom.
Abstract (english)
Distributed Denial-of-service attack (DDoS attack) is still an unresolved security issue. Recently, attacks targeting the application layer are becoming more and more popular because they require less bandwidth for a successful attack compared to attacks on the network layer. The aim of this paper is to explain why detection of Application Layer attacks is a hard problem and why neural networks show good performance as a detection method. Four different tools were used for DDoS attack simulation and a method of merging traffic generated by the simulation with legitimate traffic was developed. A DDoS detection system using the neural networks was implemented and tested on real traffic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:309256
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
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Created on2019-03-13 19:22:22