Analiza mogućnosti napredne metode za filtriranje paketa

master's thesis

• Title (english): Analysis of Deep Packet Inspection Features
• Author: Sandro Brajković
• Mentor: Štefica Mrvelj (mentor)
• Committee member: Niko Jelušić (predsjednik povjerenstva)
• Committee member: Marko Matulin (član povjerenstva)
• Committee member: Zvonko Kavran (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Information and Communications Traffic); Zagreb
• Defense date and country: 2016-09-27, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Postal and Telecommunications Traffic

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.

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.

• Keywords: Deep Packet Inspection; filtriranje; klasifikacija
• Keywords (english): Deep Packet Inspection; filtering; classification
• Language: croatian
• URN:NBN: urn:nbn:hr:119:588211
• Study programme: Title: Traffic 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; Course: Information and Communication Traffic; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2016-11-24 11:11:11