Martin Andreoni
Orcid: 0000-0002-4170-4341Affiliations:
- Federal University of Rio de Janeiro, Brazil (PhD 2018)
According to our database1,
Martin Andreoni authored at least 56 papers
between 2013 and 2025.
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Bibliography
2025
Toward an Intrusion Detection System for a Virtualization Framework in Edge Computing.
CoRR, November, 2025
UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks.
CoRR, October, 2025
Generative Adversarial Networks for Dynamic Malware Behavior: A Comprehensive Review, Categorization, and Analysis.
IEEE Trans. Artif. Intell., August, 2025
ComplicitSplat: Downstream Models are Vulnerable to Blackbox Attacks by 3D Gaussian Splat Camouflages.
CoRR, August, 2025
IEEE J. Sel. Areas Commun., June, 2025
CoRR, January, 2025
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025
Leveraging Zero Trust for Enhanced Security and Connectivity in Ad-Hoc Mesh Networks.
Proceedings of the 12th IFIP International Conference on New Technologies, 2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025
2024
RF Jamming Dataset: A Wireless Spectral Scan Approach for Malicious Interference Detection.
IEEE Commun. Mag., November, 2024
Towards intent-based management for Open Radio Access Networks: an agile framework for detecting service-level agreement conflicts.
Ann. des Télécommunications, October, 2024
Optimizing feature selection in intrusion detection systems: Pareto dominance set approaches with mutual information and linear correlation.
Ad Hoc Networks, 2024
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey.
IEEE Access, 2024
2023
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection.
IEEE Trans. Netw. Serv. Manag., June, 2023
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection.
IEEE Access, 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Experimental Evaluation of A Lightweight RSS-Based PLA Scheme in Multi-Node Multi-Cell Mesh Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023
An Empirical Analysis of MeshShield: a Network Security System for Fully Distributed Networks.
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023
An Agile Conflict-Solving Framework for Intent-Based Management of Service Level Agreement.
Proceedings of the 2nd International Conference on 6G Networking, 2023
2022
A fast and accurate threat detection and prevention architecture using stream processing.
Concurr. Comput. Pract. Exp., 2022
A statistical analysis of intrinsic bias of network security datasets for training machine learning mechanisms.
Ann. des Télécommunications, 2022
JamRF: Performance Analysis, Evaluation, and Implementation of RF Jamming Over Wi-Fi.
IEEE Access, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the 6th Cyber Security in Networking Conference, 2022
Deep Reinforcement Learning Based Anti-Jamming Using Clear Channel Assessment Information in a Cognitive Radio Environment.
Proceedings of the 5th International Conference on Advanced Communication Technologies and Networking, 2022
New Barriers on 6G Networking: An Exploratory Study on the Security, Privacy and Opportunities for Aerial Networks.
Proceedings of the 1st International Conference on 6G Networking, 2022
2021
Identifying Fake News on Social Networks Based on Natural Language Processing: Trends and Challenges.
Inf., 2021
Resumo de Grandes Volumes de Dados com Filtro de Bloom: Uma Abordagem Eficiente para Aprendizado Profundo com Redes Neurais Convolucionais em Fluxos de Rede.
Proceedings of the 39th Brazilian Symposium on Computer Networks and Distributed Systems, 2021
An Entropy-based Hybrid Mechanism for Large-Scale Wireless Network Traffic Prediction.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Towards Secure Wireless Mesh Networks for UAV Swarm Connectivity: Current Threats, Research, and Opportunities.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
Proceedings of the 4th International Conference on Advanced Communication Technologies and Networking, 2021
2020
A survey on data analysis on large-Scale wireless networks: online stream processing, trends, and challenges.
J. Internet Serv. Appl., 2020
Correction to: MineCap: super incremental learning for detecting and blocking cryptocurrency mining on software-defined networking.
Ann. des Télécommunications, 2020
MineCap: super incremental learning for detecting and blocking cryptocurrency mining on software-defined networking.
Ann. des Télécommunications, 2020
Proceedings of the 2020 IFIP Networking Conference, 2020
Attackers are not Stealthy: Statistical Analysis of the Well-Known and Infamous KDD Network Security Dataset.
Proceedings of the 4th Conference on Cloud and Internet of Things, 2020
2019
Toward a monitoring and threat detection system based on stream processing as a virtual network function for big data.
Concurr. Comput. Pract. Exp., 2019
Ann. des Télécommunications, 2019
A Monitoring and Threat Detection System Using Stream Processing as a Virtual Function for Big Data.
Proceedings of the Companion Proceedings of the 37th Brazilian Symposium on Computer Networks and Distributed Systems, 2019
2018
A monitoring and threat detection system using stream processing as a virtual function for Big Data. (Un système de surveillance et détection de menaces utilisant le traitement de flux comme une fonction virtuelle pour le Big Data).
PhD thesis, 2018
Um Sistema de Detecção de Ameaças Distribuídas de Rede baseado em Aprendizagem por Grafos.
Proceedings of the XXXVI Brazilian Symposium on Computer Networks and Distributed Systems, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Um Algoritmo Não Supervisionado e Rápido para Seleção de Características em Classificação de Tráfego ∗.
Proceedings of the XXXV Brazilian Symposium on Computer Networks and Distributed Systems, 2017
A cooperation-aware virtual network function for proactive detection of distributed port scanning.
Proceedings of the 1st Cyber Security in Networking Conference, 2017
Proceedings of the 1st Cyber Security in Networking Conference, 2017
2016
Ann. des Télécommunications, 2016
Proceedings of the 7th International Conference on the Network of the Future, 2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
Providing elasticity to intrusion detection systems in virtualized Software Defined Networks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015
2013
Proceedings of the IEEE International Conference on Communications, 2013