Steganografija zasnovana na karakterističnim regijama slike

master's thesis

• Title (english): Steganography based on characteristic image regions
• Author: Mihaela Bos
• Mentor: Andrej Dujella (mentor)
• Committee member: Andrej Dujella (predsjednik povjerenstva)
• Committee member: Ljiljana Arambašić (član povjerenstva)
• Committee member: Ilja Gogić (član povjerenstva)
• Committee member: Igor Ciganović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2021-07-22, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

Cilj ovog rada bio je dati uvid u steganografiju i predstaviti metodu zasnovanu na karakterističnim regijama slike. Na početku rada uveden je pojam steganografije, njenih bitnih karakteristika te osnovnih metoda koje koriste sliku kao objekt nositelj. U drugom dijelu opisana je CR-BIS metoda. U okviru toga dan je opis Blowfish algoritma i SURF metode i na koncu način primjene opisane CR-BIS metode.

Abstract (english)

The goal of this thesis was to give an introduction to steganography and describe characteristic region based image steganography. In the first part we defined what steganography is, what are its most important characteristics and we introduced the basic set of methods which use image as the carrier object. In the second part we described CR-BIS method. As a part of it we covered Blowfish algorithm and SURF method and at the end we gave an example of using CR-BIS method.

• Keywords: steganografija; CR-BIS metoda; Blowfish algoritam; SURF metoda
• Keywords (english): steganography; CR-BIS method; Blowfish algorithm; SURF method
• Language: croatian
• URN:NBN: urn:nbn:hr:217:796244
• Study programme: Title: Computer Science and Mathematics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-09-14 11:47:59