BV TECH, one of the research reports is among the most cited on MDPI
A special mention from the publisher
26/07/2024
The article “Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study” by our colleague Andrea Iannacone (with collaboration from the University of Bari), published in 2022, was among the most cited in the journal and for which we received compliments from the editor and a special mention on the X e Linkedin official channels of the journal.
The research work, carried out under the Program Contract, laid the foundation for the integration of advanced malware detection capabilities, based on invoked API analysis, within BV TECH’s Cybersuite platforms.
GROTTAGLIE:
Corso Europa, 3
74023 Grottaglie (TA)
Tel.: +39.02.8596171
Fax: +39.02.89093321
RUTIGLIANO:
S.P. 84 Adelfia-Rutigliano, C.da Caggiano
70018 Rutigliano (BA)
Tel.: +39.02.8596171
Fax: +39.02.89093321
Project funded by the European Regional Development Fund Puglia POR Puglia 2014 - 2020 - Axis I - Specific Objective 1a - Action 1.1 (R&D), and with the support of the University of Bari and the Massachusetts Institute of Technology (MIT).