iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Tian, Jiyu, Li, Mingchu, Chen, Liming, Wang, Zumin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
OMLog: Online Log Anomaly Detection for Evolving System with Meta-learning
por: Tian, Jiyu, et al.
Publicado: (2024)
por: Tian, Jiyu, et al.
Publicado: (2024)
Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
por: Abshari, Danial, et al.
Publicado: (2025)
por: Abshari, Danial, et al.
Publicado: (2025)
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
por: Abshari, Danial, et al.
Publicado: (2024)
por: Abshari, Danial, et al.
Publicado: (2024)
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
por: Nakamura, Kota, et al.
Publicado: (2025)
por: Nakamura, Kota, et al.
Publicado: (2025)
CyberSentinel: An Emergent Threat Detection System for AI Security
por: Tallam, Krti
Publicado: (2025)
por: Tallam, Krti
Publicado: (2025)
Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems
por: Somma, Michael
Publicado: (2025)
por: Somma, Michael
Publicado: (2025)
Causal Digital Twins for Cyber-Physical Security: A Framework for Robust Anomaly Detection in Industrial Control Systems
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection
por: Gabrielli, Edoardo, et al.
Publicado: (2023)
por: Gabrielli, Edoardo, et al.
Publicado: (2023)
Evaluation Pipeline for systematically searching for Anomaly Detection Systems
por: Rokohl, Florian, et al.
Publicado: (2025)
por: Rokohl, Florian, et al.
Publicado: (2025)
Data-Driven Falsification of Cyber-Physical Systems
por: Kundu, Atanu, et al.
Publicado: (2025)
por: Kundu, Atanu, et al.
Publicado: (2025)
Cyber Threat Intelligence for Artificial Intelligence Systems
por: Krawczyk, Natalia, et al.
Publicado: (2026)
por: Krawczyk, Natalia, et al.
Publicado: (2026)
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles
por: Shit, Rathin Chandra, et al.
Publicado: (2025)
por: Shit, Rathin Chandra, et al.
Publicado: (2025)
Large Language Models for Power System Security: A Novel Multi-Modal Approach for Anomaly Detection in Energy Management Systems
por: Zaboli, Aydin, et al.
Publicado: (2025)
por: Zaboli, Aydin, et al.
Publicado: (2025)
Just-in-Time Detection of Silent Security Patches
por: Tang, Xunzhu, et al.
Publicado: (2023)
por: Tang, Xunzhu, et al.
Publicado: (2023)
AgenticCyber: A GenAI-Powered Multi-Agent System for Multimodal Threat Detection and Adaptive Response in Cybersecurity
por: Roy, Shovan
Publicado: (2025)
por: Roy, Shovan
Publicado: (2025)
Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0
por: Lui, Pedro H., et al.
Publicado: (2025)
por: Lui, Pedro H., et al.
Publicado: (2025)
Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
por: Lian, Xinglin, et al.
Publicado: (2026)
por: Lian, Xinglin, et al.
Publicado: (2026)
MALCDF: A Distributed Multi-Agent LLM Framework for Real-Time Cyber
por: Bhardwaj, Arth, et al.
Publicado: (2025)
por: Bhardwaj, Arth, et al.
Publicado: (2025)
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis
por: Hans, Soham, et al.
Publicado: (2025)
por: Hans, Soham, et al.
Publicado: (2025)
Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
por: Jean, Abile, et al.
Publicado: (2026)
por: Jean, Abile, et al.
Publicado: (2026)
PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities
por: Liu, Zicheng, et al.
Publicado: (2025)
por: Liu, Zicheng, et al.
Publicado: (2025)
Dynamic Management of a Deep Learning-Based Anomaly Detection System for 5G Networks
por: Maimó, Lorenzo Fernández, et al.
Publicado: (2026)
por: Maimó, Lorenzo Fernández, et al.
Publicado: (2026)
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems
por: Yang, Shiyi, et al.
Publicado: (2024)
por: Yang, Shiyi, et al.
Publicado: (2024)
BlockScan: Detecting Anomalies in Blockchain Transactions
por: Yu, Jiahao, et al.
Publicado: (2024)
por: Yu, Jiahao, et al.
Publicado: (2024)
Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks
por: Rahmati, Milad
Publicado: (2025)
por: Rahmati, Milad
Publicado: (2025)
HonestCyberEval: An AI Cyber Risk Benchmark for Automated Software Exploitation
por: Ristea, Dan, et al.
Publicado: (2024)
por: Ristea, Dan, et al.
Publicado: (2024)
Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks
por: Diaf, Alaeddine, et al.
Publicado: (2024)
por: Diaf, Alaeddine, et al.
Publicado: (2024)
Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper
por: Gürcan, Önder, et al.
Publicado: (2024)
por: Gürcan, Önder, et al.
Publicado: (2024)
Anomaly detection in network flows using unsupervised online machine learning
por: Miguel-Diez, Alberto, et al.
Publicado: (2025)
por: Miguel-Diez, Alberto, et al.
Publicado: (2025)
Take Package as Language: Anomaly Detection Using Transformer
por: Huang, Jie
Publicado: (2024)
por: Huang, Jie
Publicado: (2024)
AI-Driven Security in Cloud Computing: Enhancing Threat Detection, Automated Response, and Cyber Resilience
por: Shaffi, Shamnad Mohamed, et al.
Publicado: (2025)
por: Shaffi, Shamnad Mohamed, et al.
Publicado: (2025)
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network
por: Cheng, Pengzhou, et al.
Publicado: (2024)
por: Cheng, Pengzhou, et al.
Publicado: (2024)
The Path To Autonomous Cyber Defense
por: Oesch, Sean, et al.
Publicado: (2024)
por: Oesch, Sean, et al.
Publicado: (2024)
CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts
por: Landauer, Max, et al.
Publicado: (2026)
por: Landauer, Max, et al.
Publicado: (2026)
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis
por: Roy, Krishna Chandra, et al.
Publicado: (2024)
por: Roy, Krishna Chandra, et al.
Publicado: (2024)
Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
por: Zhou, Jiajun, et al.
Publicado: (2024)
por: Zhou, Jiajun, et al.
Publicado: (2024)
TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents
por: Liu, Yibing, et al.
Publicado: (2026)
por: Liu, Yibing, et al.
Publicado: (2026)
Hybrid IDS Using Signature-Based and Anomaly-Based Detection
por: Boutassetta, Messaouda, et al.
Publicado: (2026)
por: Boutassetta, Messaouda, et al.
Publicado: (2026)
Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations
por: Li, Tao, et al.
Publicado: (2025)
por: Li, Tao, et al.
Publicado: (2025)
Ejemplares similares
-
OMLog: Online Log Anomaly Detection for Evolving System with Meta-learning
por: Tian, Jiyu, et al.
Publicado: (2024) -
Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
por: Abshari, Danial, et al.
Publicado: (2025) -
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
por: Abshari, Danial, et al.
Publicado: (2024) -
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
por: Nakamura, Kota, et al.
Publicado: (2025) -
CyberSentinel: An Emergent Threat Detection System for AI Security
por: Tallam, Krti
Publicado: (2025)