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master's thesis
Optimizacija Bloom filtra za otkrivanje napada podvale
2019. urn:nbn:hr:168:932831
Šindija, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

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Šindija, I. (2019). Optimizacija Bloom filtra za otkrivanje napada podvale (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:932831

Šindija, Ivan. "Optimizacija Bloom filtra za otkrivanje napada podvale." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:932831

Šindija, Ivan. "Optimizacija Bloom filtra za otkrivanje napada podvale." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:932831

Šindija, I. (2019). 'Optimizacija Bloom filtra za otkrivanje napada podvale', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:932831

Šindija I. Optimizacija Bloom filtra za otkrivanje napada podvale [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 January 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:932831

I. Šindija, "Optimizacija Bloom filtra za otkrivanje napada podvale", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:932831

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Metadata
TitleOptimizacija Bloom filtra za otkrivanje napada podvale
Title (english)Bloom Filter Optimization for Spoofing Attack Detection
AuthorIvan Šindija
MentorVlado Sruk (mentor)
Committee memberVlado Sruk (predsjednik povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
Committee memberAnte Đerek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
TCP protokol je ranjiv na napade tipa SYN poplava i jedan od efikasnih načina obrane je Bloom filter. Bloom filteri su efikasne strukture podataka koje služe za pohranu velike količine podataka u mali memorijski prostor i omogućavaju brze provjere pripadnosti. S brojećim Bloom filterima možemo detektirati tip IP lažiranja koji se koristi u napadu SYN poplavom. Uz pomoć algoritama koji koriste proširivi Bloom filteri možemo učinkovito filtrirati lažan SYN promet prilikom korištenja podmrežnog ili fiksnog lažiranja, a kod napada s pseudo slučajnim lažiranjem koristimo standardni Bloom filter za spremanje liste pouzdanih IP adresa.
Abstract (english)
TCP protocol is vulnerable to SYN flood type attacks and an effective defence method is the Bloom filter. Bloom filters are efficient data structures that store large amounts of data in a small storage space and allow for quick membership queries. With use of counting Bloom filter, we can detect type of IP spoofing that is used in SYN flood attack. Scalable Bloom filter can be utilized for filtering spoofed SYN traffic if the attacker uses random or subnet spoofing. When attacker uses fixed IP spoofing we use standard Bloom filter for storing whitelist of trusted IP addresses.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:932831
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 on2020-01-07 22:23:42