Behavioral malware detection using deep graph convolutional neural networks AS de Oliveira, RJ Sassi Authorea Preprints, 2023 | 74 | 2023 |
Automata-2008: Theory and applications of cellular automata A Adamatzky, R Alonso-Sanz, A Lawniczak Luniver Press, 2008 | 35 | 2008 |
Chimera: an android malware detection method based on multimodal deep learning and hybrid analysis AS de Oliveira, RJ Sassi Authorea Preprints, 2023 | 33 | 2023 |
Malware analysis datasets: top-1000 PE imports A Oliveira IEEE Dataport, 2019 | 17 | 2019 |
Malware analysis datasets: API call sequences A Oliveira IEEE Dataport. Available online: https://ieee-dataport. org/open-access …, 2019 | 16 | 2019 |
Derivation and Representation of One-Dimensional, Reversible, Number-Conserving Cellular Automata Rules. A Schranko, PPB De Oliveira Journal of cellular automata 6 (1), 2011 | 12 | 2011 |
Malware analysis datasets: Raw PE as image A Oliveira IEEE dataport, 2019 | 7 | 2019 |
Malware analysis datasets: PE section headers A Oliveira IEEE Dataport 10, 2019 | 7 | 2019 |
Malware Analysis Datasets: PE Section Headers. IEEE Dataport A Oliveira | 6 | 2019 |
Towards the Definition of Conservation Degree for One-Dimensional Cellular Automata Rules. A Schranko, PPB de Oliveira Journal of Cellular Automata 5, 2010 | 6 | 2010 |
Malware analysis datasets: Api call sequences, ieee dataport A Oliveira, RJ Sassi | 5 | 2019 |
Hunting Android malware using multimodal deep learning and hybrid analysis data AS de Oliveira, RJ Sassi | 3 | 2021 |
A definition of conservation degree for one-dimensional cellular automata rules. A Schranko, PE Florencio, RM Ywassa, PPB de Oliveira Automata, 156-173, 2008 | 1 | 2008 |
A new android malware detection method based on multimodal deep learning and hybrid analysis AS Oliveira Universidade Nove de Julho, 2022 | | 2022 |
Algumas propriedades de autômatos celulares unidimensionais conservativos e reversíveis AS Oliveira | | 2009 |