Cover Image

Anomaly-based Framework for Detecting Power Overloading Cyberattacks in Smart Grid AMI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Korba, Abdelaziz Amara, Tamani, Nouredine, Ghamri-Doudane, Yacine, karabadji, Nour El Islem
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization
by: Korba, Abdelaziz Amara, et al.
Published: (2025)

Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks
by: Diaf, Alaeddine, et al.
Published: (2024)

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning
by: Rahal, Rabah, et al.
Published: (2025)

Multi-agent Reinforcement Learning-based Network Intrusion Detection System
by: Tellache, Amine, et al.
Published: (2024)

BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction
by: Diaf, Alaeddine, et al.
Published: (2025)

AntibotV: A Multilevel Behaviour-based Framework for Botnets Detection in Vehicular Networks
by: Rahal, Rabah, et al.
Published: (2024)

Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)

BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2025)

AI-Driven Fast and Early Detection of IoT Botnet Threats: A Comprehensive Network Traffic Analysis Approach
by: korba, Abdelaziz Amara, et al.
Published: (2024)

DARTIC: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)

Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
by: Tellache, Amine, et al.
Published: (2025)

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
by: Dif, Meryem Malak, et al.
Published: (2025)

A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)

Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays
by: Saber, Ahmad Mohammad, et al.
Published: (2026)

Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
by: korba, Abdelaziz Amara, et al.
Published: (2024)

EnerSwap: Large-Scale, Privacy-First Automated Market Maker for V2G Energy Trading
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2025)

Differentially Private Communication of Measurement Anomalies in the Smart Grid
by: Ravi, Nikhil, et al.
Published: (2024)

Destabilizing Power Grid and Energy Market by Cyberattacks on Smart Inverters
by: Hui, Xiangyu, et al.
Published: (2025)

User-Centric Phishing Detection: A RAG and LLM-Based Approach
by: Barwani, Abrar Hamed Al, et al.
Published: (2026)

On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids
by: Sen, Omer, et al.
Published: (2024)

RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2024)

A Kolmogorov-Arnold Network for Explainable Detection of Cyberattacks on EV Chargers
by: Saber, Ahmad Mohammad, et al.
Published: (2025)

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)

False Data Injection Attacks in Smart Grids: State of the Art and Way Forward
by: Irfan, Muhammad, et al.
Published: (2023)

GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
by: Efatinasab, Emad, et al.
Published: (2024)

Benchmarking Dataset for Presence-Only Passive Reconnaissance in Wireless Smart-Grid Communications
by: Agha, Bochra Al, et al.
Published: (2026)

Electronic Warfare Cyberattacks, Countermeasures and Modern Defensive Strategies of UAV Avionics: A Survey
by: Yu, Aaron, et al.
Published: (2025)

Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems
by: Saber, Ahmad Mohammad, et al.
Published: (2024)

FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
by: Efatinasab, Emad, et al.
Published: (2024)

B5GRoam: A Zero Trust Framework for Secure and Efficient On-Chain B5G Roaming
by: Rezazi, Mohamed Abdessamed, et al.
Published: (2025)

AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
by: Dif, Meryem Malak, et al.
Published: (2025)

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
by: Bellachia, Ahmed Ayoub, et al.
Published: (2025)

Smart Contract Security Beyond Detection
by: Abdelaziz, Tamer
Published: (2026)

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

AI-based Attacker Models for Enhancing Multi-Stage Cyberattack Simulations in Smart Grids Using Co-Simulation Environments
by: Sen, Omer, et al.
Published: (2024)

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems
by: Ezzat, Khalid M., et al.
Published: (2026)

Vision-Based Learning for Cyberattack Detection in Blockchain Smart Contracts and Transactions
by: Son, Do Hai, et al.
Published: (2025)

When the Base Station Flies: Rethinking Security for UAV-Based 6G Networks
by: Falou, Ammar El
Published: (2025)

Watermarking and Anomaly Detection in Machine Learning Models for LORA RF Fingerprinting
by: Mahajan, Aarushi, et al.
Published: (2025)

Explainable Autoencoder-Based Anomaly Detection in IEC 61850 GOOSE Networks
by: Lozano-Paredes, Dafne, et al.
Published: (2026)