Sustav za otkrivanje neovlaštenog pristupa računalu baziran na biometriji

undergraduate thesis

• Title (english): Biometrics based intrusion detection system
• Author: Tomislav Gudelj
• Mentor: Ante Đerek (mentor)
• Committee member: Ante Đerek (predsjednik povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Committee member: Klemo Vladimir (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2015-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Sustavi za otkrivanje neovlaštenog pristupa zadnja su crta obrane računalnih sustava čiji je cilj da što prije otkriju anomalije. U ovom su radu razmatrani sustavi temeljeni na biometrijskoj metodi dinamike tipkanja te je predloženo jedno od mogućih rješenja. Predloženi sustav je opisan fazama prikupljanja, obrade i usporedbe uzoraka, odluke i izvještavanja. Prikupljanje i obrada uzoraka spadaju u fazu unosa, a usporedba, odluka i izvještavanje u fazu prepoznavanja. Za obradu i usporedbu uzoraka korištena je umjetna neuronska mreža. Sustav prati korisnikovo tipkanje i svakom detekcijom neovlaštenog korisnika upozorava legalnog korisnika.

Abstract (english)

Intrusion detection systems are the last line of defense, with an aim to discover anomalies in system as soon as possible. In this paper, keystroke dinamics based systems were considered and one of the possible solutions was suggested. Suggested system consists of gathering phase, sample analysis and comparison, decision and report. Collection of samples and sample analysis are part of enrollment phase, while comparison, decision and report are part of validation phase. Artificial neural network was used for sample analysis and comparison. System tracks users typing and if it detects unauthorized user, it promplty warns a legal one.

• Keywords: dinamika tipkanja; biometrija; detekcija upada; autentikacija; sigurnost; umjetne neuronske mreže
• Keywords (english): keystroke dynamics; biometrics; intrusion detection; authentication; security; artificial neural network
• Language: croatian
• URN:NBN: urn:nbn:hr:168:837094
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 09:05:41