On the application of Explainable Artificial Intelligence (XAI) techniques for generating images from data packages to detect anomalies in computer networks

• Grant number: 21/05516-1
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2022
• End date: January 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Kelton Augusto Pontara da Costa
• Grantee: Kelton Augusto Pontara da Costa
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Associated researchers: João Paulo Papa ; Rafal Scherer

Abstract

The Internet, has brought higher complexity to the Network Management area. Detecting anomalies in a network with the highest efficiency and in the shortest possible time has been the goal of many researchers, which have used Artificial Intelligence. This project aims to convert network data into images so that Convolutional Neural Networks can be used to detect deviations in network behavior. The XAI models will bring explainability and clarity to the AI algorithms used, making it possible to understand the reasons for anomalous detection or not. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MOREIRA, THIERRY P.; SANTANA, MARCOS CLEISON S.; PASSOS, LEANDRO A.; PAPA, JOAO PAULO; DA COSTA, KELTON AUGUSTO P.; PINHO, AJ; GEORGIEVA, P; TEIXEIRA, LF; SANCHEZ, JA. An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), v. 13256, p. 11-pg., 2022-01-01. (21/05516-1, 14/12236-1, 19/07665-4, 13/07375-0)

HERNANDES JUNIOR, PAULO R. GALEGO; SCHERER, RAFAL; JANUARIO, LUCAS B.; RODRIGUES, DOUGLAS; PAPA, JOAO P.; COSTA, KELTON A. P.; IEEE. From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., 2022-01-01. (21/05516-1, 13/07375-0, 14/12236-1, 19/07665-4)

BIAGGI, LUCAS; PAPA, JOAO P.; COSTA, KELTON A. P.; PEREIRA, DANILLO R.; PASSOS, LEANDRO A.; IEEE. FEMa-FS: Finite Element Machines for Feature Selection. 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 8-pg., 2022-01-01. (21/05516-1, 17/22905-6, 13/07375-0, 16/19403-6, 14/12236-1)