Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Shuzhan, Jiang, Ruxue, Wang, Zhaoqi, Zhou, Yan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Anomaly Detection in Certificate Transparency Logs
por: Ostertág, Richard, et al.
Publicado: (2024)
por: Ostertág, Richard, et al.
Publicado: (2024)
Anomaly Detection in OKTA Logs using Autoencoders
por: Cain, Jericho, et al.
Publicado: (2024)
por: Cain, Jericho, et al.
Publicado: (2024)
Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
por: Pang, Yining, et al.
Publicado: (2024)
por: Pang, Yining, et al.
Publicado: (2024)
A Novel GPT-Based Framework for Anomaly Detection in System Logs
por: Zhang, Zeng, et al.
Publicado: (2025)
por: Zhang, Zeng, et al.
Publicado: (2025)
Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
por: Ghajari, Ghazal, et al.
Publicado: (2025)
por: Ghajari, Ghazal, et al.
Publicado: (2025)
Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
por: Yang, Tao, et al.
Publicado: (2022)
por: Yang, Tao, et al.
Publicado: (2022)
LogGuardQ: A Cognitive-Enhanced Reinforcement Learning Framework for Cybersecurity Anomaly Detection in Security Logs
por: de Sousa, Umberto Gonçalves
Publicado: (2025)
por: de Sousa, Umberto Gonçalves
Publicado: (2025)
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
por: Aly, Ahmed, et al.
Publicado: (2025)
por: Aly, Ahmed, et al.
Publicado: (2025)
A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
por: Jiang, Laura, et al.
Publicado: (2025)
por: Jiang, Laura, et al.
Publicado: (2025)
In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
por: Chaudhary, Devashish, et al.
Publicado: (2026)
por: Chaudhary, Devashish, et al.
Publicado: (2026)
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
por: Hasan, Mohammad, et al.
Publicado: (2024)
por: Hasan, Mohammad, et al.
Publicado: (2024)
Graph Attention Networks with Physical Constraints for Anomaly Detection
por: Homaei, Mohammadhossein, et al.
Publicado: (2026)
por: Homaei, Mohammadhossein, et al.
Publicado: (2026)
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice
por: Zhou, Tian-Yi, et al.
Publicado: (2024)
por: Zhou, Tian-Yi, et al.
Publicado: (2024)
Deep Learning-based Binary Analysis for Vulnerability Detection in x86-64 Machine Code
por: Petingola, Mitchell
Publicado: (2026)
por: Petingola, Mitchell
Publicado: (2026)
Wavelet-Aware Anomaly Detection in Multi-Channel User Logs via Deviation Modulation and Resolution-Adaptive Attention
por: Kong, Kaichuan, et al.
Publicado: (2026)
por: Kong, Kaichuan, et al.
Publicado: (2026)
Research on Dynamic Data Flow Anomaly Detection based on Machine Learning
por: Wang, Liyang, et al.
Publicado: (2024)
por: Wang, Liyang, et al.
Publicado: (2024)
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
por: Raza, Ali, et al.
Publicado: (2022)
por: Raza, Ali, et al.
Publicado: (2022)
IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
por: Zhang, Yuchen, et al.
Publicado: (2026)
por: Zhang, Yuchen, et al.
Publicado: (2026)
siForest: Detecting Network Anomalies with Set-Structured Isolation Forest
por: Djidjev, Christie
Publicado: (2024)
por: Djidjev, Christie
Publicado: (2024)
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
por: Zhao, Chunheng, et al.
Publicado: (2024)
por: Zhao, Chunheng, et al.
Publicado: (2024)
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN
por: Khandelwal, Shashwat, et al.
Publicado: (2024)
por: Khandelwal, Shashwat, et al.
Publicado: (2024)
RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises
por: Li, Chenyu, et al.
Publicado: (2025)
por: Li, Chenyu, et al.
Publicado: (2025)
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
por: Haug, Markus, et al.
Publicado: (2025)
por: Haug, Markus, et al.
Publicado: (2025)
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
por: Schulze, J. -P., et al.
Publicado: (2021)
por: Schulze, J. -P., et al.
Publicado: (2021)
Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks
por: Chhabra, Vaibhav
Publicado: (2026)
por: Chhabra, Vaibhav
Publicado: (2026)
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
por: Onyeka, Henry, et al.
Publicado: (2025)
por: Onyeka, Henry, et al.
Publicado: (2025)
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
por: Karayalçin, Sengim, et al.
Publicado: (2025)
por: Karayalçin, Sengim, et al.
Publicado: (2025)
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
por: Xu, Renjie, et al.
Publicado: (2024)
por: Xu, Renjie, et al.
Publicado: (2024)
State Frequency Estimation for Anomaly Detection
por: Cao, Clinton, et al.
Publicado: (2024)
por: Cao, Clinton, et al.
Publicado: (2024)
ADVENT: Attack/Anomaly Detection in VANETs
por: Baharlouei, Hamideh, et al.
Publicado: (2024)
por: Baharlouei, Hamideh, et al.
Publicado: (2024)
eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem
por: Mehedi, Sk Tanzir, et al.
Publicado: (2026)
por: Mehedi, Sk Tanzir, et al.
Publicado: (2026)
Global Context Enhanced Anomaly Detection of Cyber Attacks via Decoupled Graph Neural Networks
por: Hafez, Ahmad
Publicado: (2024)
por: Hafez, Ahmad
Publicado: (2024)
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
por: Wang, Su, et al.
Publicado: (2021)
por: Wang, Su, et al.
Publicado: (2021)
GNN-based Anomaly Detection for Encoded Network Traffic
por: Chattopadhyay, Anasuya, et al.
Publicado: (2024)
por: Chattopadhyay, Anasuya, et al.
Publicado: (2024)
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
por: Li, Elvin, et al.
Publicado: (2025)
por: Li, Elvin, et al.
Publicado: (2025)
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
por: Shakya, Sushil, et al.
Publicado: (2024)
por: Shakya, Sushil, et al.
Publicado: (2024)
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
por: Nkashama, D'Jeff K., et al.
Publicado: (2024)
por: Nkashama, D'Jeff K., et al.
Publicado: (2024)
Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
por: Puccetti, Tommaso, et al.
Publicado: (2024)
por: Puccetti, Tommaso, et al.
Publicado: (2024)
Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection
por: de Melo, Leonardo Henrique, et al.
Publicado: (2025)
por: de Melo, Leonardo Henrique, et al.
Publicado: (2025)
Ejemplares similares
-
Anomaly Detection in Certificate Transparency Logs
por: Ostertág, Richard, et al.
Publicado: (2024) -
Anomaly Detection in OKTA Logs using Autoencoders
por: Cain, Jericho, et al.
Publicado: (2024) -
Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
por: Pang, Yining, et al.
Publicado: (2024) -
A Novel GPT-Based Framework for Anomaly Detection in System Logs
por: Zhang, Zeng, et al.
Publicado: (2025) -
Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
por: Ghajari, Ghazal, et al.
Publicado: (2025)