Jesús Fernando Cevallos Moreno

Orcid: 0000-0003-2752-4616

According to our database1, Jesús Fernando Cevallos Moreno authored at least 13 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SereWay: Toward SEcurity and REliability Benchmarking for the RailWAY IIoT.
J. Netw. Syst. Manag., April, 2026

Ethical treatment of language models against harmful inference-time interventions.
Eng. Appl. Artif. Intell., 2026

2025
Open-Ethical AI: Advancements in Open-Source Human-Centric Neural Language Models.
ACM Comput. Surv., April, 2025

HERO: From High-dimensional network traffic to zERO-Day attack detection.
Comput. Networks, 2025

Open-FARI: An Open-source testbed for Federated Anomaly detection in the Railway Industrial Internet of Things.
Proceedings of the International Wireless Communications and Mobile Computing, 2025

2024
IoT-driven blockchain to manage the healthcare supply chain and protect medical records.
Future Gener. Comput. Syst., 2024

NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach.
Comput. Secur., 2024

ASAP: Automatic Synthesis of Attack Prototypes, an online-learning, end-to-end approach.
Comput. Networks, 2024

RaiIRED: a Node-RED-Based Framework for Modeling Train Control Management Systems.
Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024

2023
Deep Reinforcement Learning for intrusion detection in Internet of Things: Best practices, lessons learnt, and open challenges.
Comput. Networks, November, 2023

2022
HR-Specific NLP for the Homogeneous Classification of Declared and Inferred Skills.
Appl. Artif. Intell., December, 2022

Deep learning applications over heterogeneous networks: from multimedia to genes.
PhD thesis, 2022

2021
Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach.
Future Internet, 2021


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