| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document

Title:Programski vmesnik za identifikacijo uporabnikov na spletu
Authors:Prassnic Kotnik, Tilen (Author)
Hölbl, Marko (Mentor) More about this mentor... New window
Files:.pdf UN_Prassnic_Kotnik_Tilen_2021.pdf (1,13 MB)
MD5: E6614FD443B4BAFCD9C4ECFD5283FADE
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Sledenje in identifikacija uporabnikov predstavljata pomembna temelja zagotavljanja višje stopnje varnosti in boljše uporabniške izkušnje ter kritično vplivata na izboljševanje poslovnih procesov. V diplomski nalogi smo raziskali in analizirali različne načine identifikacije uporabnikov spletnih strani. Opisali smo aktualne metode sledenja, kot so piškotki in tehnologije digitalnega »fingerprintinga«, hkrati pa slednje implementirali v razvito programsko rešitev. Programsko rešitev smo zasnovali tako, da omogoča identifikacijo izbranega uporabnika na osnovi njegovega digitalnega prstnega odtisa, dodatno pa smo pripravili tudi prijavni sistem.
Keywords:piškotki, sledenje, identifikacija, splet
Year of publishing:2021
Source:Maribor
Views:112
Downloads:13
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
:
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

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:28.09.2021

Secondary language

Language:English
Title:An API for user identification on the web
Abstract:Tracking and identification of users represent an important pillar in ensuring better security and user experience, as well as provide critical insight for helping improve business models. In this thesis, we have studied and analysed different user-tracking methods, such as cookies and other digital fingerprinting methods. Additionally, we have developed a working API, which identifies a user, based on his digital fingerprint. To provide a complete solution, we have also developed a login / registration system.
Keywords:cookies, tracking, identification, web


Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica