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Michele Russo
Michele Russo
Huawei Munich Research Center - AI4Sec
Verified email at huawei.com
Title
Cited by
Cited by
Year
Detection of illicit cryptomining using network metadata
M Russo, N ©rndić, P Laskov
EURASIP Journal on Information Security 2021 (1), 11, 2021
212021
Active TLS stack fingerprinting: characterizing TLS server deployments at scale
M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ...
arXiv preprint arXiv:2206.13230, 2022
132022
GCNH: A simple method for representation learning on heterophilous graphs
A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
102023
2-hop neighbor class similarity (2ncs): A graph structural metric indicative of graph neural network performance
A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio
arXiv preprint arXiv:2212.13202, 2022
102022
Anomaly detection in vehicle-to-infrastructure communications
M Russo, M Labonne, A Olivereau, M Rmayti
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018
62018
EFACTLS: Effective Active TLS Fingerprinting for Large-scale Server Deployment Characterization
M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ...
IEEE Transactions on Network and Service Management, 2024
32024
Anomaly detection in continuous-time temporal provenance graphs
J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt
Temporal Graph Learning Workshop@ NeurIPS 2023, 2023
22023
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
T Poątuvan, C Grohnfeldt, M Russo, G Lovisotto
arXiv preprint arXiv:2405.18050, 2024
2024
Continuous-Time Temporal Graph Learning on Provenance Graphs
J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1131-1140, 2023
2023
Anomaly-based intrusion detection system for intelligent transportation systems
M Russo
Politecnico di Torino, 2018
2018
Increasing Resilience of SD-WAN by Distributing the Control Plane [Extension of a paper from the 2023 International Conference on Network of the Future (NOF 2023 …
M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ...
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