:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Sunyoung, Kim, Hokeun
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Cryptography and Security Networking and Internet Architecture
Acceso en línea:	https://arxiv.org/abs/2603.18197
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

STAR: Semantic-Traffic Alignment and Retrieval for Zero-Shot HTTPS Website Fingerprinting
por: Cheng, Yifei, et al.
Publicado: (2025)

MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
por: Sharma, Prakhar, et al.
Publicado: (2025)

Identifying AI Web Scrapers Using Canary Tokens
por: Seiden, Steven, et al.
Publicado: (2026)

Trustworthy AI-Generative Content for Intelligent Network Service: Robustness, Security, and Fairness
por: Li, Siyuan, et al.
Publicado: (2024)

AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments
por: Al-Sinani, Haitham S., et al.
Publicado: (2024)

Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment
por: Xia, Le, et al.
Publicado: (2021)

ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet
por: Li, Yuekang, et al.
Publicado: (2025)

Intrusion Prevention through Optimal Stopping
por: Hammar, Kim, et al.
Publicado: (2021)

Learning Intrusion Prevention Policies through Optimal Stopping
por: Hammar, Kim, et al.
Publicado: (2021)

The Impact of Quantum-Safe Cryptography (QSC) on Website Response
por: Tadepalli, Ananya
Publicado: (2024)

Framework for Integrating Zero Trust in Cloud-Based Endpoint Security for Critical Infrastructure
por: Gajula, Shyam Kumar
Publicado: (2026)

IoT Device Identification with Machine Learning: Common Pitfalls and Best Practices
por: Kostas, Kahraman, et al.
Publicado: (2026)

PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks
por: Kalogiannis, Konstantinos, et al.
Publicado: (2026)

MalMoE: Mixture-of-Experts Enhanced Encrypted Malicious Traffic Detection Under Graph Drift
por: Tan, Yunpeng, et al.
Publicado: (2026)

Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
por: Swileh, Mohammed N., et al.
Publicado: (2026)

Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
por: Zaman, Khandoker Ashik Uz, et al.
Publicado: (2026)

Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
por: Kostas, Kahraman, et al.
Publicado: (2024)

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification
por: Lin, Xinjie, et al.
Publicado: (2025)

LAPRAD: LLM-Assisted PRotocol Attack Discovery
por: Aygun, R. Can, et al.
Publicado: (2025)

STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
por: Wang, Kai, et al.
Publicado: (2023)

Novel Approach to Intrusion Detection: Introducing GAN-MSCNN-BILSTM with LIME Predictions
por: Benchama, Asmaa, et al.
Publicado: (2024)

Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study
por: Zhang, Xinggong, et al.
Publicado: (2025)

Evasion-Resilient Detection of DNS-over-HTTPS Data Exfiltration: A Practical Evaluation and Toolkit
por: Elaoumari, Adam
Publicado: (2025)

Hybrid Epidemics - A Case Study on Computer Worm Conficker
por: Zhang, Changwang, et al.
Publicado: (2014)

Training Large Language Models for Advanced Typosquatting Detection
por: Welch, Jackson
Publicado: (2025)

A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions
por: Senevirathna, Thulitha, et al.
Publicado: (2022)

Towards Explainable Network Intrusion Detection using Large Language Models
por: Houssel, Paul R. B., et al.
Publicado: (2024)

LLMs' Suitability for Network Security: A Case Study of STRIDE Threat Modeling
por: AbdulGhaffar, AbdulAziz, et al.
Publicado: (2025)

A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
por: Dunsin, Dipo, et al.
Publicado: (2023)

Towards Explainable Meta-Learning for DDoS Detection
por: Zhou, Qianru, et al.
Publicado: (2022)

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
por: Bahar, Atmane Ayoub Mansour, et al.
Publicado: (2025)

Strategic Deployment of Honeypots in Blockchain-based IoT Systems
por: Commey, Daniel, et al.
Publicado: (2024)

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
por: Yang, Shuo, et al.
Publicado: (2025)

A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks
por: Boone, Julia, et al.
Publicado: (2025)

Are Trees Really Green? A Detection Approach of IoT Malware Attacks
por: Sanna, Silvia Lucia, et al.
Publicado: (2025)

AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons
por: Li, Hexu, et al.
Publicado: (2025)

GeMID: Generalizable Models for IoT Device Identification
por: Kostas, Kahraman, et al.
Publicado: (2024)

Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
por: Grini, Anass, et al.
Publicado: (2025)

Security Implications and Mitigation Strategies in MPLS Networks
por: Thakur, Ayush
Publicado: (2024)

Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
por: He, Jiayi, et al.
Publicado: (2024)