Leonardo Passig Horstmann

Orcid: 0000-0002-3581-275X

According to our database1, Leonardo Passig Horstmann authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Transparent integration of autonomous vehicles simulation tools with a data-centric middleware.
Des. Autom. Embed. Syst., March, 2024

On the Impacts of Shared-Resource Contention on Intrusion Detection Systems based on Performance Monitoring.
Proceedings of the 27th IEEE International Symposium on Real-Time Distributed Computing, 2024

2023
Monitoring the performance of multicore embedded systems without disrupting its timing requirements.
Des. Autom. Embed. Syst., December, 2023

A Secure IIoT Gateway Architecture based on Trusted Execution Environments.
J. Netw. Syst. Manag., April, 2023

A Method to Evaluate the Performance of Predictors in Cyber-Physical Systems.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Handling WSN Communication Faults at the Edge with Confidence Attribution for Data Imputation.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Using Formal Methods for On-The-Fly Time Series Verification.
Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

2022
Integrating Autonomous Vehicle Simulation Tools using SmartData.
Proceedings of the XII Brazilian Symposium on Computing Systems Engineering, 2022

Using Formal Methods to Specify Data-Driven Cyber-Physical Systems.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

A PUF-based Secure Bootstrap Protocol for Cyber-Physical System Networks.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Intrusion Detection in Multicore Embedded Systems based on Artificial Immune Systems.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals.
Appl. Artif. Intell., 2021

Performance Monitoring Features in EPOS.
Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, 2021

2020
Modeling Time Requirements of CPS in Wireless Networks.
Sensors, 2020

Data Confidence Applied to Wind Turbine Power Curves.
Proceedings of the X Brazilian Symposium on Computing Systems Engineering, 2020

A Fault Injection Framework for Real-time Multicore Embedded Systems.
Proceedings of the X Brazilian Symposium on Computing Systems Engineering, 2020

2019
Anomaly Detection in Multicore Embedded Systems.
Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, 2019

A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019


  Loading...