Copertina

PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chathoth, Ajesh Koyatan, Lee, Stephen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Cryptography and Security Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dynamic Black-box Backdoor Attacks on IoT Sensory Data
di: Chathoth, Ajesh Koyatan, et al.
Pubblicazione: (2025)

Backdoor Attacks on Contrastive Continual Learning for IoT Systems
di: Tim, Alfous, et al.
Pubblicazione: (2026)

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

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
di: Silva, Miguel, 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)

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

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
di: Yuan, Yali, et al.
Pubblicazione: (2025)

A Blockchain Solution for Collaborative Machine Learning over IoT
di: Beis-Penedo, Carlos, et al.
Pubblicazione: (2023)

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

How the Graph Construction Technique Shapes Performance in IoT Botnet Detection
di: Wasswa, Hassan, et al.
Pubblicazione: (2026)

Design and implementation of intelligent packet filtering in IoT microcontroller-based devices
di: Bertoli, Gustavo de Carvalho, et al.
Pubblicazione: (2023)

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

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

Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
di: Baidar, Rasil, et al.
Pubblicazione: (2025)

IoT-AMLHP: Aligned Multimodal Learning of Header-Payload Representations for Resource-Efficient Malicious IoT Traffic Classification
di: Nie, Fengyuan, et al.
Pubblicazione: (2025)

Analyzing Unsolicited Internet Traffic: Measuring IoT Security Threats via Network Telescopes
di: Ismail, Shereen, 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)

Hiding in Plain Sight: An IoT Traffic Camouflage Framework for Enhanced Privacy
di: Worae, Daniel Adu, et al.
Pubblicazione: (2025)

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

Zero Trust for Multi-RAT IoT: Trust Boundary Management in Heterogeneous Wireless Network Environments
di: Shelby, Jonathan
Pubblicazione: (2026)

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
di: Kostas, Kahraman, et al.
Pubblicazione: (2023)

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

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

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

UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security
di: Wu, Binghui, et al.
Pubblicazione: (2025)

Blockchain and Deep Learning-Based IDS for Securing SDN-Enabled Industrial IoT Environments
di: Poorazad, Samira Kamali, et al.
Pubblicazione: (2023)

Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
di: Zhang, Zifan, et al.
Pubblicazione: (2024)

Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning
di: Basharat, Muhammad Umair, et al.
Pubblicazione: (2026)

DAXiot: A Decentralized Authentication and Authorization Scheme for Dynamic IoT Networks
di: Philipp, Artur, et al.
Pubblicazione: (2023)

A Framework for Detection and Classification of Attacks on Surveillance Cameras under IoT Networks
di: Amjid, Umair, et al.
Pubblicazione: (2025)

Tactical Edge IoT in Defense and National Security
di: Fraga-Lamas, Paula, et al.
Pubblicazione: (2024)

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

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
di: Hussain, Ahmed Mohamed, et al.
Pubblicazione: (2024)

MeshGuard: MUD-Based Network Access Control for Large-Scale Thread-Powered IoT Networks
di: George, Dominik Roy, et al.
Pubblicazione: (2026)

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

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

Wireguard: An Efficient Solution for Securing IoT Device Connectivity
di: Jumakhan, Haseebullah, et al.
Pubblicazione: (2024)

IoT Device Labeling Using Large Language Models
di: Meyuhas, Bar, et al.
Pubblicazione: (2024)

An LLM-Powered AI Agent Framework for Holistic IoT Traffic Interpretation
di: Worae, Daniel Adu, 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)