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Title:Avtentikacija na mobilnih napravah: prepoznava obrazov : diplomsko delo visokošolskega študijskega programa Informacijska varnost
Authors:ID Novak, Sandra (Author)
ID Markelj, Blaž (Mentor) More about this mentor... New window
Files:.pdf VS_Novak_Sandra_2021.pdf (966,70 KB)
MD5: 59CFC98D0CD2CCBE0BAA2E035AAE8529
PID: 20.500.12556/dkum/787cefa3-9efc-4d52-87db-b90e030a4b6e
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FVV - Faculty of Criminal Justice and Security
Abstract:V današnjem času si večina ljudi težko predstavlja življenja brez mobilnih naprav, ki so zaradi svojih funkcij postale zelo priljubljene. Postale so nepogrešljive na zasebnem in poslovnem področju, saj nam omogočajo dostop do raznovrstnih podatkov, kot so fotografije, sporočila, bančni računi itd. Ker v današnjem času hranimo ogromno občutljivih in zaupnih podatkov, so mobilne naprave dovzetne tudi za raznovrstne napade. Tako je prišlo do stremenja po boljši varnosti, ki se jo lahko zagotovi z avtentikacijo oziroma s preverjanjem prisotnosti. Tako se je s časom razvila tudi prepoznava obraza, ki je eden izmed načinov biometričnega preverjanja. Tovrstna tehnologija nam prinaša ogromno prednosti, saj v primerjavi z ostalimi načini predstavlja varno, enostavno in priročno izkušnjo brez vnosa gesla. Poleg naštetega pa zagotavlja tudi fizično prisotnost uporabnika. Kljub vsem prednostim, ki jih prinaša, je prepoznava obraza dovzetna tudi za napade. Obstajajo različni načini, kako pretentati tovrstno tehnologijo in dostopati do podatkov. Vprašanje zasebnosti pa se pojavi tudi glede podatkov o obrazu, ki so pridobljeni s takšnim načinom. S pomočjo deskriptivne metode smo tako predstavili prepoznavo obraza, njeno delovanje, programsko opremo, omejitve, probleme, incidente ter zakonsko podlago. Od tega so nas zanimale predvsem omejitve, ki lahko nastopijo, in varnost podatkov, ki so pridobljeni s prepoznavo obraza. Naš cilj je bil dobljene ugotovitve povezati tudi z rezultati anketnega vprašalnika, pri katerem nas je zanimalo, kako posamezniki dojemajo prepoznavo obraza kot preverjanje prisotnosti.
Keywords:diplomske naloge, prepoznava obrazov, avtentikacija, mobilne naprave, varnost
Place of publishing:Ljubljana
Place of performance:Ljubljana
Publisher:[S. Novak]
Year of publishing:2021
Year of performance:2021
Number of pages:VIII, 52 str.
PID:20.500.12556/DKUM-79800 New window
UDC:004.056(043.2)
COBISS.SI-ID:75090179 New window
Publication date in DKUM:03.09.2021
Views:1323
Downloads:186
Metadata:XML DC-XML DC-RDF
Categories:FVV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.08.2021

Secondary language

Language:English
Title:Authentication on mobile devices: face recognition
Abstract:Nowadays, most of us have a hard time imagining life without mobile devices, which have become very popular due to their functions. They have become indispensable in the private and business sphere, because they give us access to different types of data, such as photos, messages, bank accounts, etc. We store a huge amount of sensitive and private data, mobile devices are also susceptible to a variety of attacks. There has been an effort for better security, which can be ensured by authentication. Over time, facial recognition has evolved, which is one type of biometric authentication. This type of technology brings us huge advantages, as compared to other methods, it represents a safe, easy and convenient experience without entering a password. In addition to the above, it also ensures the physical presence of the user. Despite all the benefits it brings, facial recognition is also susceptible to attacks. There are various ways to trick this kind of technology and access data. The question of privacy also arises with regard to facial data obtained with this authentication. With descriptive method, we presented facial recognition, its operation, software, limitations, problems, incidents and legal order. We were primarily interested in the limitations that may occur and the security of the data obtained by face recognition. Our goal was to link the findings with the results of the questionnaire, at which we were interested in how individuals perceive facial recognition as a presence check.
Keywords:authentication, mobile devices, face recognition, security


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