Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
Fuente:
arXiv
Saved in:
| Main Authors: | Agha, Bochra Al, Tajeddine, Razane |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking Dataset for Presence-Only Passive Reconnaissance in Wireless Smart-Grid Communications
by: Agha, Bochra Al, et al.
Published: (2026)
by: Agha, Bochra Al, et al.
Published: (2026)
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
by: Gan, Xiaoyun, et al.
Published: (2024)
by: Gan, Xiaoyun, et al.
Published: (2024)
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025)
by: Dao, Thinh, et al.
Published: (2025)
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
by: Geng, Jiaxiang, et al.
Published: (2024)
by: Geng, Jiaxiang, et al.
Published: (2024)
DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)
by: Ahmad, Zain, et al.
Published: (2025)
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities
by: Khowaja, Sunder Ali, et al.
Published: (2024)
by: Khowaja, Sunder Ali, et al.
Published: (2024)
Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
by: Khoa, Tran Viet, et al.
Published: (2023)
by: Khoa, Tran Viet, et al.
Published: (2023)
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
by: Gayathri, R G, et al.
Published: (2024)
by: Gayathri, R G, et al.
Published: (2024)
Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)
by: Jin, Shan, et al.
Published: (2026)
Trustworthy Federated Learning: Privacy, Security, and Beyond
by: Chen, Chunlu, et al.
Published: (2024)
by: Chen, Chunlu, et al.
Published: (2024)
Celtibero: Robust Layered Aggregation for Federated Learning
by: Molina-Coronado, Borja
Published: (2024)
by: Molina-Coronado, Borja
Published: (2024)
An Adaptive Differential Privacy Method Based on Federated Learning
by: Wang, Zhiqiang, et al.
Published: (2024)
by: Wang, Zhiqiang, et al.
Published: (2024)
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
by: Zafar, Usama, et al.
Published: (2025)
by: Zafar, Usama, et al.
Published: (2025)
Towards Secure and Trusted-by-Design Smart Contracts
by: Dargaye, Zaynah, et al.
Published: (2024)
by: Dargaye, Zaynah, et al.
Published: (2024)
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
by: Li, Zhiqiang, et al.
Published: (2025)
by: Li, Zhiqiang, et al.
Published: (2025)
SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning
by: Li, Borui, et al.
Published: (2025)
by: Li, Borui, et al.
Published: (2025)
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
by: Mia, Md Jueal, et al.
Published: (2024)
by: Mia, Md Jueal, et al.
Published: (2024)
HearthNet: Edge Multi-Agent Orchestration for Smart Homes
by: Zhan, Zhonghao, et al.
Published: (2026)
by: Zhan, Zhonghao, et al.
Published: (2026)
Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry
by: Chigullapally, Akhil Gupta, et al.
Published: (2026)
by: Chigullapally, Akhil Gupta, et al.
Published: (2026)
Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
by: Laskurain, Unai, et al.
Published: (2025)
by: Laskurain, Unai, et al.
Published: (2025)
SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
by: Li, Borui, et al.
Published: (2025)
by: Li, Borui, et al.
Published: (2025)
Vocabulary Attack to Hijack Large Language Model Applications
by: Levi, Patrick, et al.
Published: (2024)
by: Levi, Patrick, et al.
Published: (2024)
DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
by: Herath, Charuka, et al.
Published: (2025)
by: Herath, Charuka, et al.
Published: (2025)
Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
by: Zhou, Hanlin, et al.
Published: (2026)
by: Zhou, Hanlin, et al.
Published: (2026)
LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection
by: Rondanini, Christian, et al.
Published: (2026)
by: Rondanini, Christian, et al.
Published: (2026)
FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
by: Liu, Sheng, et al.
Published: (2026)
by: Liu, Sheng, et al.
Published: (2026)
Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
by: Yan, Bo, et al.
Published: (2025)
by: Yan, Bo, et al.
Published: (2025)
Graph of Effort: Quantifying Risk of AI Usage for Vulnerability Assessment
by: Mehra, Anket, et al.
Published: (2025)
by: Mehra, Anket, et al.
Published: (2025)
FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation
by: Rondanini, Christian, et al.
Published: (2025)
by: Rondanini, Christian, et al.
Published: (2025)
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
by: Bouzinis, Pavlos S., et al.
Published: (2024)
by: Bouzinis, Pavlos S., et al.
Published: (2024)
Federated Graph Condensation with Information Bottleneck Principles
by: Yan, Bo, et al.
Published: (2024)
by: Yan, Bo, et al.
Published: (2024)
Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning (full version)
by: Ebron, Sheldon C., et al.
Published: (2023)
by: Ebron, Sheldon C., et al.
Published: (2023)
PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
by: Sun, Wei, et al.
Published: (2026)
by: Sun, Wei, et al.
Published: (2026)
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
by: Yan, Bo, et al.
Published: (2023)
by: Yan, Bo, et al.
Published: (2023)
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
by: Zhang, Hongliang, et al.
Published: (2025)
by: Zhang, Hongliang, et al.
Published: (2025)
Attack Graph Generation on HPC Clusters
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Similar Items
-
Benchmarking Dataset for Presence-Only Passive Reconnaissance in Wireless Smart-Grid Communications
by: Agha, Bochra Al, et al.
Published: (2026) -
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
by: Gan, Xiaoyun, et al.
Published: (2024) -
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
by: Husnoo, Muhammad Akbar, et al.
Published: (2024) -
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025) -
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)