An Approach Based on Ford-Fulkerson Algorithm to Optimize Network Bandwidth Usage. - Euclides Pinto Neto; Gustavo Callou (SBESC, 2015)

An algorithm to optimise the load distribution of fog environments. - Euclides C. Pinto Neto; Gustavo Callou; Fernando Antônio Aires Lins (SMC, 2017)

Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS). - Euclides C. Pinto Neto; Derick Moreira Baum; Jorge Rady de Almeida Júnior; João Battista Camargo Junior; Paulo Sérgio Cugnasca (CoRR, 2019)

A Mindset-Based Evolution of Unmanned Aircraft System (UAS) Acceptance Into the National Airspace System (NAS). - Derick Moreira Baum; Euclides Carlos Pinto Neto; Jorge Rady de Almeida Jr.; João Batista Camargo Jr.; Paulo Sérgio Cugnasca (IEEE Access, 2020)

Swarm-Based Optimization of Final Arrival Segments Considering the UAS Integration in the National Airspace System. - Euclides Carlos Pinto Neto; Derick Moreira Baum; Jorge Rady de Almeida Jr.; João Batista Camargo Jr.; Paulo Sérgio Cugnasca (IEEE Access, 2021)

Comparing the Performance of Traffic Coordination Methods for Advanced Aerial Mobility. - Ítalo Romani de Oliveira; Euclides C. Pinto Neto; Thiago Matsumoto; Huafeng Yu; Emiliano Bartolomé; Guillermo Frontera; Aaron Mayne (CoRR, 2021)

Decentralized Air Traffic Management for Advanced Air Mobility. - Ítalo Romani de Oliveira; Euclides Carlos Pinto Neto; Thiago Toshio Matsumoto; Huafeng Yu (CoRR, 2021)

Classification and Analysis of Adversarial Machine Learning Attacks in IoT: a Label Flipping Attack Case Study. - Mahdi Abrishami; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Pulei Xiong; Shahrear Iqbal; Suprio Ray; Ali A. Ghorbani 001 (FRUCT, 2022)

Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning. - Euclides Carlos Pinto Neto; Sajjad Dadkhah; Ali A. Ghorbani 001 (PST, 2022)

An Approach based on vSDN to Optimize Power Consumption. - Euclides Carlos Pinto Neto; Gustavo Callou (SoftCOM, 2022)

Blockchain-based traffic management for Advanced Air Mobility. - Átalo Romani de Oliveira; T. Matsumoto; Euclides C. Pinto Neto (CoRR, 2022)

UAS in the Airspace: A Review on Integration, Simulation, Optimization, and Open Challenges. - Euclides Carlos Pinto Neto; Derick Moreira Baum; Jorge Rady de Almeida Jr.; João Batista Camargo Jr.; Paulo Sérgio Cugnasca (CoRR, 2022)

A Trajectory Evaluation Platform for Urban Air Mobility (UAM). - Euclides Carlos Pinto Neto; Derick Moreira Baum; Jorge Rady de Almeida Jr.; João Battista Camargo Junior; Paulo Sérgio Cugnasca (IEEE Trans. Intell. Transp. Syst., 2022)

ImageFed: Practical Privacy Preserving Intrusion Detection System for In-Vehicle CAN Bus Protocol. - Hamideh Taslimasa; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Pulei Xiong; Shahrear Iqbal; Suprio Ray; Ali A. Ghorbani 001 (BigDataSecurity/HPSC/IDS, 2023)

Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment. - Priscilla Kyei Danso; Heather Molyneaux; Alireza Zohourian; Euclides Carlos Pinto Neto; Derrick Whalen; Sajjad Dadkhah; Ali A. Ghorbani 001 (HCI (35), 2023)

Stochastic Flight Plan Optimization. - Ítalo Romani de Oliveira; Steve Altus; Sergey Tiourine; Euclides C. Pinto Neto; Alexandre Leite; Felipe C. F. de Azevedo (CoRR, 2023)

Reroute Prediction Service. - Ítalo Romani de Oliveira; Samet Ayhan; Michael Biglin; Pablo Costas; Euclides C. Pinto Neto (CoRR, 2023)

Internet of Things (IoT) security dataset evolution: Challenges and future directions. - Barjinder Kaur; Sajjad Dadkhah; Farzaneh Shoeleh; Euclides Carlos Pinto Neto; Pulei Xiong; Shahrear Iqbal; Philippe Lamontagne 001; Suprio Ray; Ali A. Ghorbani 001 (Internet Things, 2023)

Security issues in Internet of Vehicles (IoV): A comprehensive survey. - Hamideh Taslimasa; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Pulei Xiong; Suprio Ray; Ali A. Ghorbani 001 (Internet Things, 2023)

IoT Zigbee device security: A comprehensive review. - Alireza Zohourian; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Hassan Mahdikhani; Priscilla Kyei Danso; Heather Molyneaux; Ali A. Ghorbani 001 (Internet Things, 2023)

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment. - Euclides Carlos Pinto Neto; Sajjad Dadkhah; Raphael Ferreira; Alireza Zohourian; Rongxing Lu; Ali A. Ghorbani 001 (Sensors, 2023)

IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks. - Alireza Zohourian; Sajjad Dadkhah; Heather Molyneaux; Euclides Carlos Pinto Neto; Ali A. Ghorbani 001 (Comput. Secur., 2024)

CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMT. - Sajjad Dadkhah; Euclides Carlos Pinto Neto; Raphael Ferreira; Reginald C. Molokwu; Somayeh Sadeghi; Ali A. Ghorbani 001 (Internet Things, 2024)

CICIoV2024: Advancing realistic IDS approaches against DoS and spoofing attack in IoV CAN bus. - Euclides Carlos Pinto Neto; Hamideh Taslimasa; Sajjad Dadkhah; Shahrear Iqbal; Pulei Xiong; Taufiq Rahman; Ali A. Ghorbani 001 (Internet Things, 2024)

A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective. - Euclides Carlos Pinto Neto; Sajjad Dadkhah; Somayeh Sadeghi; Heather Molyneaux; Ali A. Ghorbani 001 (Comput. Commun., 2024)

Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification. - Priscilla Kyei Danso; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Alireza Zohourian; Heather Molyneaux; Rongxing Lu; Ali A. Ghorbani 001 (IEEE Internet Things J., 2024)

An exploratory study on domain knowledge infusion in deep learning for automated threat defense. - Sourena Khanzadeh; Euclides Carlos Pinto Neto; Shahrear Iqbal; Manar H. Alalfi; Scott Buffett (Int. J. Inf. Sec., 2025)

A Predictive Services Architecture for Efficient Airspace Operations. - Ítalo Romani de Oliveira; Samet Ayhan; Gláucia Costa Balvedi; Michael Biglin; Pablo Costas; Euclides C. Pinto Neto; Alexandre Leite; Felipe C. F. de Azevedo (CoRR, 2025)

Towards Planning Urban Air Mobility (UAM) Landing Trajectories in Emergencies. - Euclides Carlos Pinto Neto; Derick Moreira Baum; Jorge Rady de Almeida Jr.; João Batista Camargo Jr.; Paulo Sérgio Cugnasca (J. Intell. Robotic Syst., 2025)

Correction: An exploratory study on domain knowledge infusion in deep learning for automated threat defense. - Sourena Khanzadeh; Euclides Carlos Pinto Neto; Shahrear Iqbal; Manar H. Alalfi; Scott Buffett (Int. J. Inf. Sec., 2025)

Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives. - Euclides Carlos Pinto Neto; Shahrear Iqbal; Scott Buffett; Madeena Sultana; Adrian Taylor (Artif. Intell. Rev., 2025)