Take Package as Language: Anomaly Detection Using Transformer
Fuente:
arXiv
Guardado en:
| Autor principal: | Huang, Jie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Leveraging Large Language Models to Detect npm Malicious Packages
por: Zahan, Nusrat, et al.
Publicado: (2024)
por: Zahan, Nusrat, et al.
Publicado: (2024)
Hybrid IDS Using Signature-Based and Anomaly-Based Detection
por: Boutassetta, Messaouda, et al.
Publicado: (2026)
por: Boutassetta, Messaouda, et al.
Publicado: (2026)
BlockScan: Detecting Anomalies in Blockchain Transactions
por: Yu, Jiahao, et al.
Publicado: (2024)
por: Yu, Jiahao, et al.
Publicado: (2024)
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
por: Zoubir, Abdeljalil, et al.
Publicado: (2024)
por: Zoubir, Abdeljalil, et al.
Publicado: (2024)
Evaluation Pipeline for systematically searching for Anomaly Detection Systems
por: Rokohl, Florian, et al.
Publicado: (2025)
por: Rokohl, Florian, 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)
TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents
por: Liu, Yibing, et al.
Publicado: (2026)
por: Liu, Yibing, et al.
Publicado: (2026)
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)
GUARD-CAN: Graph-Understanding and Recurrent Architecture for CAN Anomaly Detection
por: Kim, Hyeong Seon, et al.
Publicado: (2025)
por: Kim, Hyeong Seon, et al.
Publicado: (2025)
An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection
por: Ashikuzzaman, et al.
Publicado: (2026)
por: Ashikuzzaman, et al.
Publicado: (2026)
Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning
por: Ni, Ronghao, et al.
Publicado: (2026)
por: Ni, Ronghao, et al.
Publicado: (2026)
An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
por: Pai, Hao-Ting, et al.
Publicado: (2024)
por: Pai, Hao-Ting, 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)
An Empirical Study of Vulnerabilities in Python Packages and Their Detection
por: Quan, Haowei, et al.
Publicado: (2025)
por: Quan, Haowei, et al.
Publicado: (2025)
Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
por: Ganiuly, Daniyal, et al.
Publicado: (2025)
por: Ganiuly, Daniyal, et al.
Publicado: (2025)
Attention-GAN for Anomaly Detection: A Cutting-Edge Approach to Cybersecurity Threat Management
por: Sen, Mohammed Abo
Publicado: (2024)
por: Sen, Mohammed Abo
Publicado: (2024)
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)
Securing Swarms: Cross-Domain Adaptation for ROS2-based CPS Anomaly Detection
por: Boone, Julia, et al.
Publicado: (2025)
por: Boone, Julia, et al.
Publicado: (2025)
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)
Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
por: Huang, Bing, et al.
Publicado: (2024)
por: Huang, Bing, et al.
Publicado: (2024)
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)
Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore
por: Xiang, Qiuyan, et al.
Publicado: (2025)
por: Xiang, Qiuyan, et al.
Publicado: (2025)
Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems
por: Huang, Yuhang, et al.
Publicado: (2026)
por: Huang, Yuhang, 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)
Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
por: Swileh, Mohammed N., et al.
Publicado: (2024)
por: Swileh, Mohammed N., et al.
Publicado: (2024)
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)
Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
por: Zaboli, Aydin, et al.
Publicado: (2025)
por: Zaboli, Aydin, et al.
Publicado: (2025)
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
por: Han, Shanshan, et al.
Publicado: (2023)
por: Han, Shanshan, et al.
Publicado: (2023)
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
por: Tian, Jiyu, et al.
Publicado: (2025)
por: Tian, Jiyu, et al.
Publicado: (2025)
Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures
por: Wang, Suqing, et al.
Publicado: (2025)
por: Wang, Suqing, et al.
Publicado: (2025)
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
por: Jia, Shan, et al.
Publicado: (2024)
por: Jia, Shan, et al.
Publicado: (2024)
When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent
por: Wu, Xinyi, et al.
Publicado: (2026)
por: Wu, Xinyi, et al.
Publicado: (2026)
Automatically Generating Rules of Malicious Software Packages via Large Language Model
por: Zhang, XiangRui, et al.
Publicado: (2025)
por: Zhang, XiangRui, et al.
Publicado: (2025)
Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis
por: Altan, Ibrahim, et al.
Publicado: (2025)
por: Altan, Ibrahim, et al.
Publicado: (2025)
Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks
por: Perera, Irash, et al.
Publicado: (2025)
por: Perera, Irash, et al.
Publicado: (2025)
Enhancing SQL Injection Detection and Prevention Using Generative Models
por: Dasari, Naga Sai, et al.
Publicado: (2025)
por: Dasari, Naga Sai, et al.
Publicado: (2025)
Proactively Detecting Threats: A Novel Approach Using LLMs
por: Chawla, Aniesh, et al.
Publicado: (2026)
por: Chawla, Aniesh, et al.
Publicado: (2026)
Engineering Attack Vectors and Detecting Anomalies in Additive Manufacturing
por: Hasan, Md Mahbub, et al.
Publicado: (2026)
por: Hasan, Md Mahbub, et al.
Publicado: (2026)
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI
por: Yagiz, Muhammet Anil, et al.
Publicado: (2024)
por: Yagiz, Muhammet Anil, et al.
Publicado: (2024)
ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution
por: Nayak, Srikumar
Publicado: (2026)
por: Nayak, Srikumar
Publicado: (2026)
Ejemplares similares
-
Leveraging Large Language Models to Detect npm Malicious Packages
por: Zahan, Nusrat, et al.
Publicado: (2024) -
Hybrid IDS Using Signature-Based and Anomaly-Based Detection
por: Boutassetta, Messaouda, et al.
Publicado: (2026) -
BlockScan: Detecting Anomalies in Blockchain Transactions
por: Yu, Jiahao, et al.
Publicado: (2024) -
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
por: Zoubir, Abdeljalil, et al.
Publicado: (2024) -
Evaluation Pipeline for systematically searching for Anomaly Detection Systems
por: Rokohl, Florian, et al.
Publicado: (2025)