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Euclides Carlos Pinto Neto
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2020 – today
- 2024
- [j10]Euclides Carlos Pinto Neto, Sajjad Dadkhah
, Somayeh Sadeghi, Heather Molyneaux, Ali A. Ghorbani:
A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective. Comput. Commun. 213: 61-77 (2024) - [j9]Alireza Zohourian
IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks. Comput. Secur. 146: 104034 (2024) - [j8]Priscilla Kyei Danso
Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification. IEEE Internet Things J. 11(2): 2322-2335 (2024) - 2023
- [j7]Barjinder Kaur, Sajjad Dadkhah
Internet of Things (IoT) security dataset evolution: Challenges and future directions. Internet Things 22: 100780 (2023) - [j6]Alireza Zohourian
IoT Zigbee device security: A comprehensive review. Internet Things 22: 100791 (2023) - [j5]Hamideh Taslimasa
Security issues in Internet of Vehicles (IoV): A comprehensive survey. Internet Things 22: 100809 (2023) - [j4]Euclides Carlos Pinto Neto, Sajjad Dadkhah
CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment. Sensors 23(13): 5941 (2023) - [c7]Hamideh Taslimasa, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani:
ImageFed: Practical Privacy Preserving Intrusion Detection System for In-Vehicle CAN Bus Protocol. BigDataSecurity/HPSC/IDS 2023: 122-129 - [c6]Priscilla Kyei Danso
Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment. HCI (35) 2023: 622-642 - [i7]Ítalo Romani de Oliveira, Steve Altus, Sergey Tiourine, Euclides C. Pinto Neto, Alexandre Leite, Felipe C. F. de Azevedo:
Stochastic Flight Plan Optimization. CoRR abs/2307.14883 (2023) - [i6]Ítalo Romani de Oliveira, Samet Ayhan, Michael Biglin, Pablo Costas, Euclides C. Pinto Neto:
Reroute Prediction Service. CoRR abs/2310.08988 (2023) - 2022
- [j3]Euclides Carlos Pinto Neto
A Trajectory Evaluation Platform for Urban Air Mobility (UAM). IEEE Trans. Intell. Transp. Syst. 23(7): 9136-9145 (2022) - [c5]Mahdi Abrishami, Sajjad Dadkhah
Classification and Analysis of Adversarial Machine Learning Attacks in IoT: a Label Flipping Attack Case Study. FRUCT 2022: 3-14 - [c4]Euclides Carlos Pinto Neto, Sajjad Dadkhah
Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning. PST 2022: 1-10 - [c3]Euclides Carlos Pinto Neto, Gustavo Callou:
An Approach based on vSDN to Optimize Power Consumption. SoftCOM 2022: 1-6 - [i5]Átalo Romani de Oliveira, T. Matsumoto, Euclides C. Pinto Neto:
Blockchain-based traffic management for Advanced Air Mobility. CoRR abs/2208.09312 (2022) - [i4]Euclides Carlos Pinto Neto, Derick Moreira Baum, Jorge Rady de Almeida Jr., João Batista Camargo Jr., Paulo Sérgio Cugnasca:
UAS in the Airspace: A Review on Integration, Simulation, Optimization, and Open Challenges. CoRR abs/2211.15330 (2022) - 2021
- [j2]Euclides Carlos Pinto Neto
Swarm-Based Optimization of Final Arrival Segments Considering the UAS Integration in the National Airspace System. IEEE Access 9: 112372-112387 (2021) - [i3]Ítalo Romani de Oliveira, Euclides C. Pinto Neto, Thiago Matsumoto, Huafeng Yu, Emiliano Bartolomé, Guillermo Frontera, Aaron Mayne:
Comparing the Performance of Traffic Coordination Methods for Advanced Aerial Mobility. CoRR abs/2108.11316 (2021) - [i2]Ítalo Romani de Oliveira, Euclides Carlos Pinto Neto, Thiago Toshio Matsumoto, Huafeng Yu:
Decentralized Air Traffic Management for Advanced Air Mobility. CoRR abs/2108.11329 (2021) - 2020
- [j1]Derick Moreira Baum
A Mindset-Based Evolution of Unmanned Aircraft System (UAS) Acceptance Into the National Airspace System (NAS). IEEE Access 8: 30938-30952 (2020)
2010 – 2019
- 2019
- [i1]Euclides C. Pinto Neto, Derick Moreira Baum, Jorge Rady de Almeida Júnior, João Battista Camargo Junior, Paulo Sérgio Cugnasca:
Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS). CoRR abs/1908.08651 (2019) - 2017
- [c2]Euclides C. Pinto Neto
An algorithm to optimise the load distribution of fog environments. SMC 2017: 1292-1297 - 2015
- [c1]Euclides Pinto Neto
An Approach Based on Ford-Fulkerson Algorithm to Optimize Network Bandwidth Usage. SBESC 2015: 76-79
Coauthor Index
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last updated on 2024-09-10 01:09 CEST by the dblp team
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