SASSI - Sistema de Apoio à Decisão de Segurança em Sistemas Informáticos (PI: Joel Arrais; co-PI Bernardete Ribeiro)
Description
The SASSI project is based on the development of a web platform that centralize, structure and enables the visualization of information regarding the activity of computer networks and virtual machines, allowing the automatic detection of anomalies. The information is gathered using techniques that allows the analysis and record of the activities of an operating system virtualized or directly installed on a physical machine. The analysis will be executed furtively to ensure high immunity against the intrusions attempts used by malicious software or users.
Within the scope of this project it is also foreseen the automatic detection of anomalies. The operating systems activity records will be processed with the use of artificial intelligence algorithms to detect zero day exploits , this is, vulnerabilities that are not yet known but are being explored to attack computer systems.
Researchers
Funded by
PORTUGAL 2020
Total budget
535 391,00 €
Local budget
103 820,00 €
Keywords
Pattern Recognition, Intrusion Detection
Start Date
2016-03-16
End Date
2019-02-28
Conference Articles
2017
(1 publication) - Jorge Luis Rivero Pérez and Ribeiro, B. and Chen, N. and Leite, F.S. , "A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection, ", in International Conference on Neural Information Processing, November 14-18, Guangzhou, China, LNCS, Springer, 2017