Cover Image

Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Antari, Ahmad, Abo-Aisheh, Yazan, Shamasneh, Jehad, Ashqar, Huthaifa I.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Malware Classification from Memory Dumps Using Machine Learning, Transformers, and Large Language Models
by: Dweib, Areej, et al.
Published: (2025)

Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models
by: You, Weiqiu, et al.
Published: (2024)

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
by: Alhazbi, Saeif, et al.
Published: (2025)

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024)

Learning to Poison Large Language Models for Downstream Manipulation
by: Zhou, Xiangyu, et al.
Published: (2024)

Hijacking Large Language Models via Adversarial In-Context Learning
by: Zhou, Xiangyu, et al.
Published: (2023)

Privacy Preserving In-Context-Learning Framework for Large Language Models
by: Bhusal, Bishnu, et al.
Published: (2025)

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
by: Liu, Hongfu, et al.
Published: (2024)

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
by: Yin, Haoteng, et al.
Published: (2024)

Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025)

A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)

Poison with Style: A Practical Poisoning Attack on Code Large Language Models
by: Tran, Khang, et al.
Published: (2026)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
by: Cui, Tianyu, et al.
Published: (2025)

Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)

Representation Bending for Large Language Model Safety
by: Yousefpour, Ashkan, et al.
Published: (2025)

User Inference Attacks on Large Language Models
by: Kandpal, Nikhil, et al.
Published: (2023)

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)

Detecting Pretraining Data from Large Language Models
by: Shi, Weijia, et al.
Published: (2023)

Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025)

Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)

A Generic Machine Learning Framework for Radio Frequency Fingerprinting
by: Hiles, Alex, et al.
Published: (2025)

TFL: Targeted Bit-Flip Attack on Large Language Model
by: Guo, Jingkai, et al.
Published: (2026)

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by: Jia, Xiaojun, et al.
Published: (2024)

An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)

VERA: Variational Inference Framework for Jailbreaking Large Language Models
by: Lochab, Anamika, et al.
Published: (2025)

Differentially Private Next-Token Prediction of Large Language Models
by: Flemings, James, et al.
Published: (2024)

Exploring Vulnerabilities and Protections in Large Language Models: A Survey
by: Liu, Frank Weizhen, et al.
Published: (2024)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)

Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation
by: Rabin, Rafiqul, et al.
Published: (2025)

Confidence Elicitation: A New Attack Vector for Large Language Models
by: Formento, Brian, et al.
Published: (2025)

Private Fine-tuning of Large Language Models with Zeroth-order Optimization
by: Tang, Xinyu, et al.
Published: (2024)

Auto-Tuning Safety Guardrails for Black-Box Large Language Models
by: Abdulkadir, Perry
Published: (2025)

Securing Large Language Models (LLMs) from Prompt Injection Attacks
by: Suri, Omar Farooq Khan, et al.
Published: (2025)

Sanitize Your Responses: Mitigating Privacy Leakage in Large Language Models
by: Fu, Wenjie, et al.
Published: (2025)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)

Differentially Private Tabular Data Synthesis using Large Language Models
by: Tran, Toan V., et al.
Published: (2024)

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning
by: Sun, Bowen, et al.
Published: (2026)