master's thesis
Analysis of Deep Packet Inspection Features

Sandro Brajković (2016)
Sveučilište u Zagrebu
Fakultet prometnih znanosti
Promet
Zavod za informacijsko komunikacijski promet
Metadata
TitleAnaliza mogućnosti napredne metode za filtriranje paketa
AuthorSandro Brajković
Mentor(s)Štefica Mrvelj (thesis advisor)
Abstract
Ovaj diplomski rad opisuje mogućnosti trenutno najnaprednije metode za filtriranje i klasifikaciju prometa. Deep Packet Inspection je metoda filtriranja koja pregledava svih sedam slojeva OSI referentnog modela kod analize paketa te tako nudi najveću moguću točnost kod identifikacije paketa i prometa. U radu su opisani bitni pojmovi vezani uz funkcionalnosti DPI tehnologije kao i njene primjene u stvarnom svijetu. Budući da je ova tehnologija izazvala burne reakcije aktivista za zaštitu privatnosti, opisani su i analizirani načini korištenja ove tehnologije koji narušavaju privatnost. Također su analizirani podatci prikupljeni ovom metodom kako bi se prikazao jedan od načina primjene. Analizirani podatci daju uvid u najkorištenije aplikacije mobilnog podatkovnog prometa. Također su opisani kritični faktori koji utječu na performanse tih najkorištenijih aplikacija.
KeywordsDeep Packet Inspection filtering classification
Parallel title (English)Analysis of Deep Packet Inspection Features
Committee MembersŠtefica Mrvelj (committee chairperson)
Niko Jelušić (committee member)
Marko Matulin (committee member)
Zvonko Kavran (committee member)
GranterSveučilište u Zagrebu
Fakultet prometnih znanosti
Lower level organizational unitsPromet
Zavod za informacijsko komunikacijski promet
PlaceZagreb
StateCroatia
Scientific field, discipline, subdisciplineTECHNICAL SCIENCES
Traffic and Transport Technology
Postal and Telecommunications Traffic
Study programme typeuniversity
Study levelgraduate
Study programmeTraffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport
Study specializationInformation and Communication Traffic
Academic title abbreviationmag. ing. traff.
Genremaster's thesis
Language Croatian
Defense date2016-09-27
Parallel abstract (English)
This Master's thesis describes the features of an advanced method of packet filtering and classification. Deep Packet Inspection is a filtering method that inspects all seven layer of OSI referent model while analyzing the packets and therefore offer the best way of identifying the packets and traffic. This paper also describes important terms that are related to DPI functions and it’s applications in the real world. Since this technology caused a lot of uproar from the privacy activists, the use cases of DPI where privacy is disturbed are also described and analyzed. The data collected using this method are also analyzed so one of the use cases could be closely shown. The analyzed data gives insight in most used application of mobile data traffic. Also, critical factors that affect the performance of user applications are also described.
Parallel keywords (Croatian)Deep Packet Inspection filtriranje klasifikacija
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:119:588211
CommitterMojca Brenko-Puzak