prikaz prve stranice dokumenta Uporaba Snorta za otkrivanje uljeza
Access restricted to authenticated users
undergraduate thesis
Uporaba Snorta za otkrivanje uljeza
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2021. urn:nbn:hr:211:974748
Čvek, Saša
University of Zagreb
Faculty of Organization and Informatics
Department of Computing and Technology

Cite this document

Čvek, S. (2021). Uporaba Snorta za otkrivanje uljeza (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:974748

Čvek, Saša. "Uporaba Snorta za otkrivanje uljeza." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2021. https://urn.nsk.hr/urn:nbn:hr:211:974748

Čvek, Saša. "Uporaba Snorta za otkrivanje uljeza." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2021. https://urn.nsk.hr/urn:nbn:hr:211:974748

Čvek, S. (2021). 'Uporaba Snorta za otkrivanje uljeza', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:974748

Čvek S. Uporaba Snorta za otkrivanje uljeza [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2021 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:211:974748

S. Čvek, "Uporaba Snorta za otkrivanje uljeza", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:211:974748

Please login to the repository to save this object to your list.
Metadata
TitleUporaba Snorta za otkrivanje uljeza
Title (english)Intrusion Detection with Snort
AuthorSaša Čvek
MentorNikola Ivković (mentor)
MBZ: 306480
Committee memberIgor Tomičić (član povjerenstva)
MBZ: 306061
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Computing and Technology)
Varaždin
Defense date and country2021-09-10, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu je definiran sustav za otkrivanje uljeza te njegova klasifikacija i metode koje se koriste u takvim sustavima. Obrađen je sustav Snort sa svim svojim komponentama te je prikazano kako se isti instalira, konfigurira i stavlja u uporabu. Opisano je kako se kreiraju pravila za detekciju u sklopu Snorta. Navedene su i opisane neke od najčešćih prijetnji na sustave te se je u praktičnom dijelu prikazala izrada pravila kako bi se otkrile navedene prijetnje.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:974748
Study programmeTitle: Information Technology in Business Application
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
RepositoryFaculty of Organization and Informatics - Digital Repository
Created on2021-09-13 04:03:19

(©) Nacionalna i sveučilišna knjižnica u Zagrebu 2015. Sva prava pridržana. | Hrvatske bratske zajednice 4 p.p. 550, 10000 Zagreb, Hrvatska Tel. ++ 385 1 616-4040
OIB: 84838770814 | IBAN: HR66 2340 0091 1000 1008 1, Porezni broj (PDV identifikacijski broj) - VAT Number: HR84838770814
Prijava u repozitorij