BV TECH, a special mention from MDPI
Compliments of the publisher
05/07/2024
The article “Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection.” by colleague Andrea Iannacone (with collaboration from the University of Bari), published in 2022, was among the most cited in the journal.
BV TECH received compliments from the editor and a special mention on the channels X e Linkedin magazine’s official channels.
The research work, carried out under the Program Contract, led to the integration of advanced Anomaly Detection capabilities based on traffic analysis within BV TECH‘s NIDPS platform.
Follow us on social media
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).