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Title:Inference attacks and control on database structures
Authors:ID Turkanović, Muhamed (Author)
ID Welzer-Družovec, Tatjana (Author)
ID Hölbl, Marko (Author)
Files:.pdf TEM_Journal_2015_Turkanovic,_Druzovec,_Holbl_Inference_Attacks_and_Control_on_Database_Structures.pdf (322,91 KB)
MD5: 6B649EDACDD25EDB0A18E22CD84E9686
PID: 20.500.12556/dkum/002f3b30-f5aa-4748-8610-956bf03cab00
 
URL http://www.temjournal.com/content/41/01/temjournal4101.html
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Today’s databases store information with sensitivity levels that range from public to highly sensitive, hence ensuring confidentiality can be highly important, but also requires costly control. This paper focuses on the inference problem on different database structures. It presents possible treats on privacy with relation to the inference, and control methods for mitigating these treats. The paper shows that using only access control, without any inference control is inadequate, since these models are unable to protect against indirect data access. Furthermore, it covers new inference problems which rise from the dimensions of new technologies like XML, semantics, etc.
Keywords:inference, attacks, database, security, semantics
Publication status:Published
Publication version:Version of Record
Year of publishing:2015
Number of pages:str. 3-15
Numbering:Letn. 4, št. 1
PID:20.500.12556/DKUM-67262 New window
ISSN:2217-8309
UDC:004.7
ISSN on article:2217-8309
COBISS.SI-ID:18508822 New window
NUK URN:URN:SI:UM:DK:626SRM8A
Publication date in DKUM:09.08.2017
Views:1619
Downloads:129
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:TEM Journal
Shortened title:TEM J.
Publisher:UIKTEN - Association for Information Communication Technology Education and Science
ISSN:2217-8309
COBISS.SI-ID:18506518 New window

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:09.08.2017

Secondary language

Language:Slovenian
Keywords:inferenca, podatkovne baze, varnost, semantika


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