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Proceedings of the 2019 6th Student Computer Science Research Conference - StuCoSReC
2019, proceedings of peer-reviewed scientific conference contributions (international and foreign conferences)

Abstract: Computer science is now among the most popular study programmes worldwide. We live in a digital age where most industries rely on data and software programmes. From transport infrastructure to public health systems, banking and communications, computer science is everywhere. Technology has made the world better, faster, and more connected. However, it is easy to miss an important component of this exciting success story. Such development was made possible thanks to the brilliant minds of IT graduates, who took their passion for technology and used it to create ground breaking gadgets and computer programmes. Here in Slovenia, the three public universities share these values and invest heavily in their computer science students. These efforts facilitate collaboration among our departments, resulting in joint events such as this StuCoSRec student conference.
Keywords: algoritmi, podatkovne strukture, podatkovne baze, informatika
Published in RUP: 07.11.2021; Views: 854; Downloads: 24
.pdf Full text (12,98 MB)

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Anonimizacija podatkovnih baz
Maruša Stanek, Aleksandar Jurišić, Miroslav Babić, 2009, review article

Abstract: Ena od značilnosti moderne družbe je hitro naraščanje obsega zbirk osebnih podatkov. Veliko teh podatkov se uporablja v raziskovalne namene, kjer so za uporabo zaželeni čim bolj natančni podatki. Hkrati pa je nujno zagotoviti zasebnost osebnih podatkov. Če so podatki preveč splošni, je oteženo delo raziskovalcev, ki iščejo v teh podatkih korelacije. V nasprotnem primeru so lahko razkriti občutljivi osebni podatki. Zato je potrebno poiskati pravo razmerje med uporabnostjo in zaupnostjo podatkov. V ta namen je bilo predlagano, da se uporabljajo anonimizirani podatki, ki zagotavljajo tako uporabnost kot tudi anonimnost. V članku so predstavljeni nekateri načini doseganja anonimnosti podatkov ter nekateri algoritmi za anonimizacijo. Predstavljeni pristopi k anonimizaciji podatkov temeljijo na zamenjavi prvotnih specifičnih vrednosti z bolj splošnimi, a semantično ustreznimi vrednostmi.
Keywords: podatkovne baze, anonimnost, posploševanje
Published in RUP: 15.10.2013; Views: 5038; Downloads: 166
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