| Full text | |
| Author(s): |
Hernandes Junior, Paulo R. Galego
;
Scherer, Rafal
;
Januario, Lucas B.
;
Rodrigues, Douglas
;
Papa, Joao P.
;
Costa, Kelton A. P.
;
IEEE
Total Authors: 7
|
| Document type: | Journal article |
| Source: | 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP); v. N/A, p. 4-pg., 2022-01-01. |
| Abstract | |
With the increasing adoption of data networks, attacks will cause more and more damage, including financial losses to organizations and governments. Artificial intelligence, combined with Deep Learning techniques such as Convolutional Neural Networks (CNN), helps organizations detect early attacks on their infrastructures. A CNN is a specialist system in extracting pieces of information about images. This work presents a method that converts data from network connections into images. We use a CNN with three convolutional layers, which will use the generated images as input and extract features based on their weights to perform attack detection. We reached promising results detecting attacks using the NSL-KDD dataset as the input to create the images. (AU) | |
| FAPESP's process: | 21/05516-1 - On the application of Explainable Artificial Intelligence (XAI) techniques for generating images from data packages to detect anomalies in computer networks |
| Grantee: | Kelton Augusto Pontara da Costa |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |