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undergraduate thesis
Mrežni sustav za detekciju napada temeljen na detekciji anomalija
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:177629
Ercegović, Dora
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ercegović, D. (2022). Mrežni sustav za detekciju napada temeljen na detekciji anomalija (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:177629

Ercegović, Dora. "Mrežni sustav za detekciju napada temeljen na detekciji anomalija." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:177629

Ercegović, Dora. "Mrežni sustav za detekciju napada temeljen na detekciji anomalija." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:177629

Ercegović, D. (2022). 'Mrežni sustav za detekciju napada temeljen na detekciji anomalija', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:177629

Ercegović D. Mrežni sustav za detekciju napada temeljen na detekciji anomalija [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:177629

D. Ercegović, "Mrežni sustav za detekciju napada temeljen na detekciji anomalija", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:177629

Metadata
TitleMrežni sustav za detekciju napada temeljen na detekciji anomalija
Title (english)Network-based intrusion detection system based on anomaly detection
AuthorDora Ercegović
MentorMarin Vuković (mentor)
Committee memberMarin Vuković (predsjednik povjerenstva)
Committee memberRenato Šoić (član povjerenstva)
Committee memberKarlo Slovenec (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu dan je pregled mrežnih sustava za detekciju napada te literature na temu primjene strojnog učenja za detekciju. Detaljnije su opisani algoritam slučajne šume i umjetna neuronska mreža. Predložena su rješenja za detekciju temeljena na detekciji anomalija pomoću dva opisana algoritma. Rješenja su evaluirana korištenjem CICIDS2017 skupa podataka i međusobno uspoređena.
Abstract (english)
This thesis provides an overview of network-based intrusion detection systems and related work on the application of machine learning for detection. Random forest algorithm and artificial neural network are described in more detail. Detection solutions based on anomaly detection using the two described algorithms are proposed. The solutions were evaluated using the CICIDS2017 dataset and compared with each other.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:177629
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 10:05:33