Leandro Marcos da Silva

According to our database, Leandro Marcos da Silva authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting Spoofing and GPS Jamming in UAVs: Multiclass Approach to Attack Diagnosis.

Isadora Garcia Ferrão, Leandro Marcos da Silva, Daniel Bonilla, Catherine Dezan, David Espes, Kalinka Castelo Branco

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Analysis and Identification of Evil Twin Attack through Data Science Techniques Using AWID3 Dataset.

Leandro Marcos da Silva, Vinícius Moraes Andreghetti, Roseli Aparecida Francelin Romero, Kalinka Regina Lucas Jaquie Castelo Branco

Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence, 2023

2022

Early Identification of Abused Domains in TLD through Passive DNS Applying Machine Learning Techniques.

Leandro Marcos da Silva

Int. J. Commun. Networks Inf. Secur., April, 2022

Development of an Efficiency Platform Based on MQTT for UAV Controlling and DoS Attack Detection.

Leandro Marcos da Silva, Henrique Bonini de Britto Menezes, Matheus dos Santos Luccas, Christian Mailer, Alex Sandro Roschildt Pinto, Adão Boava, Mariana Rodrigues, Isadora Garcia Ferrão, Júlio Cezar Estrella, Kalinka Regina Lucas Jaquie Castelo Branco

Sensors, 2022

A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security.

Leandro Marcos da Silva, Isadora Garcia Ferrão, Kalinka R. L. J. C. Branco

Proceedings of the Latin American Robotics Symposium, 2022

2021

Detection of Newly Registered Malicious Domains through Passive DNS.

Marcos Rogério Silveira, Leandro Marcos da Silva, Adriano Mauro Cansian, Hugo Koji Kobayashi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

XGBoost Applied to Identify Malicious Domains Using Passive DNS.

Marcos Rogério Silveira, Leandro Marcos da Silva, Adriano Mauro Cansian, Hugo Koji Kobayashi

Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

Multiclass Classification of Malicious Domains Using Passive DNS with XGBoost: (Work in Progress).

Leandro Marcos da Silva, Marcos Rogério Silveira, Adriano Mauro Cansian, Hugo Koji Kobayashi

Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020