Cover Image

Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Somma, Michael
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
by: Nakamura, Kota, et al.
Published: (2025)

Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
by: Jean, Abile, et al.
Published: (2026)

An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
by: Zideh, Mehdi Jabbari, et al.
Published: (2024)

Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection
by: He, Runang, et al.
Published: (2026)

Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
by: Samaddar, Ankita, et al.
Published: (2024)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)

On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)

INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
by: Abshari, Danial, et al.
Published: (2024)

Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
by: Abshari, Danial, et al.
Published: (2025)

IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
by: Panigrahi, Damodar, et al.
Published: (2024)

Engineering Attack Vectors and Detecting Anomalies in Additive Manufacturing
by: Hasan, Md Mahbub, et al.
Published: (2026)

TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems
by: Xue, Chang, et al.
Published: (2026)

An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
by: Ige, Tosin, et al.
Published: (2024)

Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
by: Zoubir, Abdeljalil, et al.
Published: (2024)

Contextual Chart Generation for Cyber Deception
by: Nguyen, David D., et al.
Published: (2024)

Research on Dynamic Data Flow Anomaly Detection based on Machine Learning
by: Wang, Liyang, et al.
Published: (2024)

Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
by: Poštuvan, Tim, et al.
Published: (2024)

An In-Depth Analysis of Cyber Attacks in Secured Platforms
by: Ozoh, Parick, et al.
Published: (2025)

Less is more? Rewards in RL for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2025)

Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining
by: Pastoriza, Sam, et al.
Published: (2025)

Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
by: Dang, Zhangxuan, et al.
Published: (2024)

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability
by: Kuikel, Shova, et al.
Published: (2025)

Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systems
by: Sun, Haili, et al.
Published: (2024)

Towards Production-Worthy Simulation for Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

Large Language Models Are Unreliable for Cyber Threat Intelligence
by: Mezzi, Emanuele, et al.
Published: (2025)

Towards Characterizing Cyber Networks with Large Language Models
by: Hartsock, Alaric, et al.
Published: (2024)

Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
by: Xu, Zhaoyang, et al.
Published: (2025)

An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus
by: Fatahi, Mohammad, et al.
Published: (2025)

KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
by: Zhou, Andy, et al.
Published: (2024)

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
by: Alqithami, Saad
Published: (2025)

RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
by: Tauhid, Asif, et al.
Published: (2026)

The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
by: Chhetri, Bipin, et al.
Published: (2025)

From Firewalls to Frontiers: AI Red-Teaming is a Domain-Specific Evolution of Cyber Red-Teaming
by: Sinha, Anusha, et al.
Published: (2025)

Cyber Threat Detection and Vulnerability Assessment System using Generative AI and Large Language Model
by: M, Keerthi Kumar., et al.
Published: (2026)

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding
by: Lee, Hyomin, et al.
Published: (2025)

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)

Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
by: Goel, Diksha, et al.
Published: (2024)

Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks
by: Shit, Rathin Chandra, et al.
Published: (2025)

LogGuardQ: A Cognitive-Enhanced Reinforcement Learning Framework for Cybersecurity Anomaly Detection in Security Logs
by: de Sousa, Umberto Gonçalves
Published: (2025)