Copertina

UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Binghui, Divakaran, Dinil Mon, Gurusamy, Mohan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Machine Learning Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
di: Wu, Binghui, et al.
Pubblicazione: (2023)

RECTor: Robust and Efficient Correlation Attack on Tor
di: Wu, Binghui, et al.
Pubblicazione: (2025)

Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
di: Joshi, Poorvi, et al.
Pubblicazione: (2024)

AI-based Traffic Modeling for Network Security and Privacy: Challenges Ahead
di: Divakaran, Dinil Mon
Pubblicazione: (2025)

IoT Network Traffic Analysis with Deep Learning
di: Liu, Mei, et al.
Pubblicazione: (2024)

Locality Sensitive Hashing for Network Traffic Fingerprinting
di: Mashnoor, Nowfel, et al.
Pubblicazione: (2024)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
di: Silva, Miguel, et al.
Pubblicazione: (2024)

A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
di: Rezakhani, Mahshid, et al.
Pubblicazione: (2025)

Revisiting Network Traffic Analysis: Compatible network flows for ML models
di: Vitorino, João, et al.
Pubblicazione: (2025)

PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
di: Chathoth, Ajesh Koyatan, et al.
Pubblicazione: (2025)

Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
di: Choorod, Pitpimon, et al.
Pubblicazione: (2024)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
di: Kalwar, Jawad Hussain, et al.
Pubblicazione: (2024)

More Than Meets the Eye: A Semantics-Aware Traffic Augmentation Framework for Generalizable Website Fingerprinting
di: Xian, Youquan, et al.
Pubblicazione: (2026)

Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
di: Luay, Majed, et al.
Pubblicazione: (2025)

MLDAS: Machine Learning Dynamic Algorithm Selection for Software-Defined Networking Security
di: Benlloch, Pablo, et al.
Pubblicazione: (2026)

BRIDGE and TCH-Net: Heterogeneous Benchmark and Multi-Branch Baseline for Cross-Domain IoT Botnet Detection
di: Bhilwarawala, Ammar, et al.
Pubblicazione: (2026)

ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
di: Shajarian, Shaghayegh, et al.
Pubblicazione: (2025)

LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
di: Mefgouda, Brahim, et al.
Pubblicazione: (2024)

Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
di: Islam, Md Ruman, et al.
Pubblicazione: (2024)

Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters
di: Chehade, Adel, et al.
Pubblicazione: (2025)

Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
di: Canh, Thanh Nguyen, et al.
Pubblicazione: (2024)

On the Effect of Ruleset Tuning and Data Imbalance on Explainable Network Security Alert Classifications: a Case-Study on DeepCASE
di: Teuwen, Koen T. W., et al.
Pubblicazione: (2025)

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
di: Alzubi, Saif, et al.
Pubblicazione: (2026)

Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
di: Daum, Shilo, et al.
Pubblicazione: (2024)

NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
di: Qian, Chen, et al.
Pubblicazione: (2024)

RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks
di: Singh, Gurjot, et al.
Pubblicazione: (2025)

SISSA: Real-time Monitoring of Hardware Functional Safety and Cybersecurity with In-vehicle SOME/IP Ethernet Traffic
di: Liu, Qi, et al.
Pubblicazione: (2024)

MDHP-Net: Detecting an Emerging Time-exciting Threat in IVN
di: Liu, Qi, et al.
Pubblicazione: (2024)

Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities
di: Rahmati, Milad
Pubblicazione: (2025)

Finding Effective Security Strategies through Reinforcement Learning and Self-Play
di: Hammar, Kim, et al.
Pubblicazione: (2020)

A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
di: Homaei, Mohammadhossein, et al.
Pubblicazione: (2025)

An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
di: Tabbaa, Hiba, et al.
Pubblicazione: (2022)

Analyzing Unsolicited Internet Traffic: Measuring IoT Security Threats via Network Telescopes
di: Ismail, Shereen, et al.
Pubblicazione: (2026)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
di: Vitorino, João, et al.
Pubblicazione: (2024)

Attacks Against Mobility Prediction in 5G Networks
di: Atiiq, Syafiq Al, et al.
Pubblicazione: (2024)

Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
di: Gupta, Ragini, et al.
Pubblicazione: (2025)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
di: Cantone, Marco, et al.
Pubblicazione: (2024)

Enhancing Resilience for IoE: A Perspective of Networking-Level Safeguard
di: Yang, Guan-Yan, et al.
Pubblicazione: (2025)

MUFFLER: Secure Tor Traffic Obfuscation with Dynamic Connection Shuffling and Splitting
di: Seo, Minjae, et al.
Pubblicazione: (2025)

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
di: Gajjar, Pranshav, et al.
Pubblicazione: (2024)