Privacy-Aware Cyberterrorism Network Analysis using Graph Neural Networks and Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ali, Anas, Husain, Mubashar, Hans, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
by: Ali, Anas, et al.
Published: (2025)
by: Ali, Anas, et al.
Published: (2025)
Intelligent ARP Spoofing Detection using Multi-layered Machine Learning (ML) Techniques for IoT Networks
by: Ali, Anas, et al.
Published: (2025)
by: Ali, Anas, et al.
Published: (2025)
Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering
by: Ali, Anas, et al.
Published: (2025)
by: Ali, Anas, et al.
Published: (2025)
Structure-Aware Code Vulnerability Analysis With Graph Neural Networks
by: Mussabayev, Ravil
Published: (2023)
by: Mussabayev, Ravil
Published: (2023)
Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)
by: Li, Zhou, et al.
Published: (2025)
Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
by: Ahmad, Taimoor, et al.
Published: (2025)
by: Ahmad, Taimoor, et al.
Published: (2025)
Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)
by: Xiang, Zihang, et al.
Published: (2023)
FedFDP: Fairness-Aware Federated Learning with Differential Privacy
by: Ling, Xinpeng, et al.
Published: (2024)
by: Ling, Xinpeng, et al.
Published: (2024)
Federated Graph Analytics with Differential Privacy
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices
by: Mao, Yunlong, et al.
Published: (2025)
by: Mao, Yunlong, et al.
Published: (2025)
Privacy in Federated Learning
by: Sen, Jaydip, et al.
Published: (2024)
by: Sen, Jaydip, et al.
Published: (2024)
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
by: Li, Xuzeng, et al.
Published: (2025)
by: Li, Xuzeng, et al.
Published: (2025)
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
by: Le, Tan, et al.
Published: (2025)
by: Le, Tan, et al.
Published: (2025)
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
by: Zhang, Qiuchen, et al.
Published: (2022)
by: Zhang, Qiuchen, et al.
Published: (2022)
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
by: Bhaila, Karuna, et al.
Published: (2023)
by: Bhaila, Karuna, et al.
Published: (2023)
Privacy-Aware White and Black List Searching for Fraud Analysis
by: Buchanan, William J, et al.
Published: (2025)
by: Buchanan, William J, et al.
Published: (2025)
Privacy preserving layer partitioning for Deep Neural Network models
by: Rajasekar, Kishore, et al.
Published: (2024)
by: Rajasekar, Kishore, et al.
Published: (2024)
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
by: Xu, Jiacen, et al.
Published: (2025)
by: Xu, Jiacen, et al.
Published: (2025)
SecureNT: Smart Topology Obfuscation for Privacy-Aware Network Monitoring
by: Du, Chengze, et al.
Published: (2024)
by: Du, Chengze, et al.
Published: (2024)
Backdoor Attack on Vertical Federated Graph Neural Network Learning
by: Yang, Jirui, et al.
Published: (2024)
by: Yang, Jirui, et al.
Published: (2024)
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
by: Yan, Bo, et al.
Published: (2023)
by: Yan, Bo, et al.
Published: (2023)
Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
by: Manh, Bui Duc, et al.
Published: (2024)
by: Manh, Bui Duc, et al.
Published: (2024)
P3GNN: A Privacy-Preserving Provenance Graph-Based Model for APT Detection in Software Defined Networking
by: Nazari, Hedyeh, et al.
Published: (2024)
by: Nazari, Hedyeh, et al.
Published: (2024)
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
by: Costa, Ivan, et al.
Published: (2026)
by: Costa, Ivan, et al.
Published: (2026)
PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs (Journal Version)
by: Cui, Hao, et al.
Published: (2022)
by: Cui, Hao, et al.
Published: (2022)
AI-Protected Blockchain-based IoT environments: Harnessing the Future of Network Security and Privacy
by: Ruzbahani, Ali Mohammadi
Published: (2024)
by: Ruzbahani, Ali Mohammadi
Published: (2024)
Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks
by: Higgins, Griffin, et al.
Published: (2026)
by: Higgins, Griffin, et al.
Published: (2026)
LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking
by: Aghamohammadi, Yeganeh, et al.
Published: (2024)
by: Aghamohammadi, Yeganeh, et al.
Published: (2024)
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
by: Baykara, Cem Ata, et al.
Published: (2024)
by: Baykara, Cem Ata, et al.
Published: (2024)
Practical Implications of Implementing Local Differential Privacy for Smart grids
by: Hafeez, Khadija, et al.
Published: (2025)
by: Hafeez, Khadija, et al.
Published: (2025)
When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks
by: Elmahallawy, Mohamed, et al.
Published: (2025)
by: Elmahallawy, Mohamed, et al.
Published: (2025)
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
by: Hidano, Seira, et al.
Published: (2022)
by: Hidano, Seira, et al.
Published: (2022)
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
by: Dai, Enyan, et al.
Published: (2022)
by: Dai, Enyan, et al.
Published: (2022)
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
by: Wang, Yuntao, et al.
Published: (2022)
by: Wang, Yuntao, et al.
Published: (2022)
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks
by: Zhang, Peng, et al.
Published: (2024)
by: Zhang, Peng, et al.
Published: (2024)
Road Network-Aware Personalized Trajectory Protection with Differential Privacy under Spatiotemporal Correlations
by: Min, Minghui, et al.
Published: (2025)
by: Min, Minghui, et al.
Published: (2025)
PAPER: Privacy-Preserving Convolutional Neural Networks using Low-Degree Polynomial Approximations and Structural Optimizations on Leveled FHE
by: Chielle, Eduardo, et al.
Published: (2025)
by: Chielle, Eduardo, et al.
Published: (2025)
Differential Privacy for Network Assortativity
by: Ma, Fei, et al.
Published: (2025)
by: Ma, Fei, et al.
Published: (2025)
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
by: Shukla, Shubhi, et al.
Published: (2022)
by: Shukla, Shubhi, et al.
Published: (2022)
Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT
by: Ahsan, Shakil Ibne, et al.
Published: (2024)
by: Ahsan, Shakil Ibne, et al.
Published: (2024)
Similar Items
-
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
by: Ali, Anas, et al.
Published: (2025) -
Intelligent ARP Spoofing Detection using Multi-layered Machine Learning (ML) Techniques for IoT Networks
by: Ali, Anas, et al.
Published: (2025) -
Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering
by: Ali, Anas, et al.
Published: (2025) -
Structure-Aware Code Vulnerability Analysis With Graph Neural Networks
by: Mussabayev, Ravil
Published: (2023) -
Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)