Cover Image

AoI-Guided Client Selection for Robust and Timely Federated Intrusion Detection in Cloud-Edge Security Analytics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Chiu, Chun Yin
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Digital Libraries
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mens Sana In Corpore Sano: Sound Firmware Corpora for Vulnerability Research
by: Helmke, René, et al.
Published: (2024)

Detecting LLM-Generated Peer Reviews
by: Rao, Vishisht, et al.
Published: (2025)

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions
by: Hsieh, Jhih-Yi, et al.
Published: (2024)

IANEC: Digital Forensic Investigation of Contemporary Writers' Archives
by: Giguet, Emmanuel
Published: (2025)

Identity Theft in AI Conference Peer Review
by: Shah, Nihar B., et al.
Published: (2025)

From Content Creation to Citation Inflation: A GenAI Case Study
by: Al-Sinani, Haitham S., et al.
Published: (2025)

Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0
by: Liao, Jiana, et al.
Published: (2024)

Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
by: Joshi, Poorvi, et al.
Published: (2024)

EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection
by: Mohammad, Noor Islam S.
Published: (2026)

A Robust Multi-Stage Intrusion Detection System for In-Vehicle Network Security using Hierarchical Federated Learning
by: Althunayyan, Muzun, et al.
Published: (2024)

De-identification of clinical free text using natural language processing: A systematic review of current approaches
by: Kovačević, Aleksandar, et al.
Published: (2023)

Lightweight Vulnerability Detection from Code Metrics and Token Features
by: Chiu, Chun Yin
Published: (2026)

SLVR: Securely Leveraging Client Validation for Robust Federated Learning
by: Choi, Jihye, et al.
Published: (2025)

Optimising Intrusion Detection Systems in Cloud-Edge Continuum with Knowledge Distillation for Privacy-Preserving and Efficient Communication
by: Almabdy, Soad, et al.
Published: (2025)

FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring
by: Vatani, Hanie, et al.
Published: (2025)

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning
by: Kavuri, Likhitha Annapurna, et al.
Published: (2025)

Robust Federated Learning for Malicious Clients using Loss Trend Deviation Detection
by: Bhaskar, Deepthy K, et al.
Published: (2026)

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks
by: Chattopadhyay, Anasuya, et al.
Published: (2026)

A PUF-Based Security Framework for Fault and Intrusion Detection
by: Oun, Ahmed, et al.
Published: (2026)

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection
by: Huang, Yi, et al.
Published: (2025)

Intrusion Detection System Using Deep Learning for Network Security
by: Chatterjee, Soham, et al.
Published: (2025)

Toward an Intrusion Detection System for a Virtualization Framework in Edge Computing
by: de Matos, Everton, et al.
Published: (2025)

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
by: Alhusseini, Maryam Mahdi, et al.
Published: (2026)

SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks
by: Soomro, Imtiaz Ali, et al.
Published: (2026)

Federated Intrusion Detection System Based on Unsupervised Machine Learning
by: Gourceyraud, Maxime, et al.
Published: (2025)

Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
by: Ieropoulos, Vasilis, et al.
Published: (2026)

AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator
by: Hossain, Md. Kamrul, et al.
Published: (2025)

On the Security of SSH Client Signatures
by: Bäumer, Fabian, et al.
Published: (2025)

Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms
by: Munna, Md Minhazul Islam, et al.
Published: (2025)

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
by: Digregorio, Gabriele, et al.
Published: (2025)

A Crowdsensing Intrusion Detection Dataset For Decentralized Federated Learning Models
by: Feng, Chao, et al.
Published: (2025)

FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles
by: S, Devika, et al.
Published: (2025)

Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum
by: Gu, Xiaolan, et al.
Published: (2023)

AegisMCP: Online Graph Intrusion Detection for Tool-Augmented LLMs on Edge Devices
by: Zhan, Zhonghao, et al.
Published: (2025)

Sharing without Showing: Secure Cloud Analytics with Trusted Execution Environments
by: Birgersson, Marcus, et al.
Published: (2024)

CCA-Secure Key-Aggregate Proxy Re-Encryption for Secure Cloud Storage
by: Chen, Wei-Hao, et al.
Published: (2024)

AndroIDS : Android-based Intrusion Detection System using Federated Learning
by: Nair, Akarsh K, et al.
Published: (2025)

Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
by: Xu, Jiacen, et al.
Published: (2025)

Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway
by: Jamshidi, Saeid, et al.
Published: (2025)