Filters
cris logo
-
New search Filters
Select from list
Displayed from Show more
You have reached the maximum number of displayed search results.
All results displayed
No results are available for the search performed
Displayed from
You have reached the maximum number of displayed search results.
All results displayed
Loading results
Obtaining statistical data

Projects / Programmes source: ARIS

Development and integration of new data and visual analytics algorithms into investigation platform

Edit
Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
Keywords
Algorithms, data analytics, visual analytics, artificial intelligence, machine learning, complex networks
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (8)
no. Code Name and surname Research area Role Period No. of publications
1.  37982  Matej Brumen  Computer science and informatics  Researcher  2021 - 2022  31 
2.  53590  PhD Jernej Cukjati  Computer science and informatics  Junior researcher  2021 - 2022  6 
3.  37447  PhD David Jesenko  Computer science and informatics  Researcher  2021 - 2022  46 
4.  52071  Domen Kavran  Computer science and informatics  Researcher  2021 - 2022  18 
5.  37222  PhD Štefan Kohek  Computer science and informatics  Researcher  2021 - 2022  109 
6.  33709  PhD Niko Lukač  Computer science and informatics  Head  2021 - 2022  202 
7.  52197  Dino Vlahek  Computer science and informatics  Researcher  2021 - 2022  8 
8.  06671  PhD Borut Žalik  Computer science and informatics  Researcher  2021 - 2022  851 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  27,550 
Abstract
Nowadays digital forensics is one of the foundations in the area of information security. With the daily increase in fraud, there is a need for more effective tools and approaches to prevent them. As part of the given research and development project, we present the integration of new data and visual analytics algorithms into the client's existing analytical platform, which enables improved digital forensic analysis of heterogeneous structured data that are part of a complex network representing different domains (e.g. financial data streams, social networks, etc.). As part of the research task, suitable artificial intelligence algorithms would be developed and integrated in order to achieve improved data analytics, whereby hidden information and anomalies in complex networks could be found in an automated manner. Furthermore, the visual analytics would be modernized by introducing new visualization techniques for presenting multidimensional data, while also introducing the possibility of incorporating new data flows. Along with the studying of appropriate algorithms and their integration, strengthened cooperation between security authorities and University of Maribor, Faculty of electrical engineering and computer science (UM FERI) would be encouraged in terms of research challenges in the field of national digital security.
Confirmation required
Views history
Favourite