Cover Image

How the Graph Construction Technique Shapes Performance in IoT Botnet Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wasswa, Hassan, Abbass, Hussein, Lynar, Timothy
Format:	Preprint
Published:	2026
Subjects:	Networking and Internet Architecture Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
by: Wasswa, Hassan, et al.
Published: (2025)

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

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

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

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

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

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

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

BSAGIoT: A Bayesian Security Aspect Graph for Internet of Things (IoT)
by: Lashkaripour, Zeinab, et al.
Published: (2025)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)

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

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

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

Graduated Trust Gating for IoT Location Verification: Trading Off Detection and Proof Escalation
by: Ootani, Yoshiyuki
Published: (2026)

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

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

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

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

Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)

Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
by: Nkashama, D'Jeff K., et al.
Published: (2024)

Bidirectional TLS Handshake Caching for Constrained Industrial IoT Scenarios
by: Bodenhausen, Jörn, et al.
Published: (2025)

Endorsement-Driven Blockchain SSI Framework for Dynamic IoT Ecosystems
by: Putra, Guntur Dharma, et al.
Published: (2025)

SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks
by: Soomro, Imtiaz Ali, et al.
Published: (2026)

Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework
by: Li, Hongjuan, et al.
Published: (2026)

FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
by: Sun, Shihua, et al.
Published: (2024)

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

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

Privacy-preserving Blockchain-enabled Parametric Insurance via Remote Sensing and IoT
by: Hao, Mingyu, et al.
Published: (2023)

Towards a Decentralized IoT Onboarding for Smart Homes Using Consortium Blockchain
by: Dadkhah, Narges, et al.
Published: (2025)

Secure Targeted Message Dissemination in IoT Using Blockchain Enabled Edge Computing
by: Mollah, Muhammad Baqer, et al.
Published: (2024)

DeviceRadar: Online IoT Device Fingerprinting in ISPs using Programmable Switches
by: Li, Ruoyu, et al.
Published: (2024)

Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
by: Vitale, Francesco, et al.
Published: (2026)

A Scan-Based Analysis of Internet-Exposed IoT Devices Using Shodan Data
by: Williams, Richelle, et al.
Published: (2026)