Imagen de Portada

Towards Privacy-Preserving Anomaly-Based Intrusion Detection in Energy Communities

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Afzal, Zeeshan, Gaggero, Giovanni, Asplund, Mikael
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Dark Side of Flexibility: How Aggregated Cyberattacks Threaten the Power Grid
por: Myrén, Daniel, et al.
Publicado: (2025)

From Balance to Breach: Cyber Threats to Battery Energy Storage Systems
por: Öhrström, Frans, et al.
Publicado: (2025)

Automated Generation of Cybersecurity Exercise Scenarios
por: Skandylas, Charilaos, et al.
Publicado: (2026)

Automated Penetration Testing: Formalization and Realization
por: Skandylas, Charilaos, et al.
Publicado: (2024)

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

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

Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
por: Ali, Anas, et al.
Publicado: (2025)

Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT
por: Ahsan, Shakil Ibne, et al.
Publicado: (2024)

Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning
por: Poorazad, Samira Kamali, et al.
Publicado: (2026)

Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from IoT Sensors
por: Hangan, Anca, et al.
Publicado: (2024)

Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
por: Manh, Bui Duc, et al.
Publicado: (2024)

Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
por: Kodys, Martin, et al.
Publicado: (2024)

SoK: Reshaping Research on Network Intrusion Detection Systems
por: Apruzzese, Giovanni
Publicado: (2026)

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
por: Li, Elvin, et al.
Publicado: (2025)

Privacy-Preserving Billing for Local Energy Markets
por: Alqahtani, Eman, et al.
Publicado: (2024)

Ariadne: a Privacy-Preserving Communication Protocol
por: Fressancourt, Antoine, et al.
Publicado: (2024)

Knowledge-Assisted Privacy Preserving in Semantic Communication
por: Liu, Xuesong, et al.
Publicado: (2024)

SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
por: Li, Elvin, et al.
Publicado: (2025)

Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption
por: Rashid, Farrukh Bin, et al.
Publicado: (2024)

Privacy-Preserving Local Energy Trading Considering Network Fees
por: Alqahtani, Eman, et al.
Publicado: (2026)

Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes
por: Dawoud, Mohammed M., et al.
Publicado: (2024)

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

Towards Privacy-Preserving Revocation of Verifiable Credentials with Time-Flexibility
por: Buccafurri, Francesco, et al.
Publicado: (2025)

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

Blockchain-Enabled Decentralized Privacy-Preserving Group Purchasing for Energy Plans
por: Chau, Sid Chi-Kin, et al.
Publicado: (2025)

Privacy-Preserving Covert Communication Using Encrypted Wearable Gesture Recognition
por: Heya, Tasnia Ashrafi, et al.
Publicado: (2026)

The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries
por: Lu, Tianpei, et al.
Publicado: (2024)

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
por: Manh, Bui Duc, et al.
Publicado: (2024)

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
por: Wang, Lingzhi, et al.
Publicado: (2024)

Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning
por: Bi, Yu, et al.
Publicado: (2024)

Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
por: Vitale, Francesco, et al.
Publicado: (2026)

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

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

An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks
por: Gharami, Kanchon, et al.
Publicado: (2025)

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
por: Costa, Ivan, et al.
Publicado: (2026)

Privacy-Preserving Video Anomaly Detection: A Survey
por: Liu, Yang, et al.
Publicado: (2024)

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
por: Li, Chengxi, et al.
Publicado: (2024)

SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
por: Li, Yekai, et al.
Publicado: (2024)

Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset
por: Song, Anxiao, et al.
Publicado: (2025)

Privacy-Preserving Prompt Injection Detection for LLMs Using Federated Learning and Embedding-Based NLP Classification
por: Jayathilaka, Hasini
Publicado: (2025)