Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa

master's thesis

• Title (english): Detection of Anomalous User Behavior for Video Streaming Services
• Author: Ivan Precali
• Mentor: Tomislav Petković (mentor)
• Committee member: Tomislav Petković (predsjednik povjerenstva)
• Committee member: Zvonko Kostanjčar (član povjerenstva)
• Committee member: Juraj Petrović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-09-23, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U diplomskom radu se obrađuje detekcija nepoželjnog korisničkog ponašanja u uslugama strujanja videa na specifičnom skupu podatak. Rad je podijeljen u dva dijela. Prvi dio opisuje teorijsku pozadinu usluga strujanja videa, definira nepoželjno korisničko ponašanje i opisuje algoritme za detekciju stršećih vrijednosti koji se koriste u implementaciji. Drugi dio rada je opis skupa podataka korištenih u implementaciji, statistička analiza podataka korisničkog ponašanja unutar danog skupa podataka i rezultati implementacije algoritma opisanog u prvom djelu nad danim skupom podataka.

Abstract (english)

The thesis deals with the detection of anomalous user behavior in video streaming services on a specific data set. The paper is divided into two parts. The first part describes the theoretical background of video streaming services, defines anomalous user behavior, and the describes outlier detection algorithms used in the implementation. The second part of the paper is a description of the data set used in the implementation, statistical analysis of user behavior data within a given data set and the results of the implementation of the algorithm described in the first part on a given data set.

• Keywords: usluge strujanja videa; stršeće vrijednosti; detekcija anomalija; strojno učenje
• Keywords (english): video streaming services; outliers; anomaly detection; machine learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:128520
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 13:34:00