Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
Fuente:
arXiv
Saved in:
| Main Authors: | Shahzad, Muhammad Khuram, Khan, Haseeb, Khan, Muhammad Masood, Bibi, Mubashra |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT
by: Aslam, Ambreen, et al.
Published: (2026)
by: Aslam, Ambreen, et al.
Published: (2026)
Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture
by: Naeem, Amna, et al.
Published: (2025)
by: Naeem, Amna, et al.
Published: (2025)
Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
by: Ieropoulos, Vasilis, et al.
Published: (2026)
by: Ieropoulos, Vasilis, et al.
Published: (2026)
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures
by: Afzaal, Hanzala, et al.
Published: (2026)
by: Afzaal, Hanzala, et al.
Published: (2026)
Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)
SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling
by: Ganev, Georgi, et al.
Published: (2025)
by: Ganev, Georgi, et al.
Published: (2025)
Architecting Trust: A Framework for Secure IoT Systems Through Trusted Execution and Semantic Middleware
by: Imran, Muhammad
Published: (2026)
by: Imran, Muhammad
Published: (2026)
A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks
by: Khan, Muhammad Shahbaz, et al.
Published: (2025)
by: Khan, Muhammad Shahbaz, et al.
Published: (2025)
DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes
by: Elsayed, Amr Tarek, et al.
Published: (2025)
by: Elsayed, Amr Tarek, et al.
Published: (2025)
Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
by: Gueriani, Afrah, et al.
Published: (2024)
by: Gueriani, Afrah, et al.
Published: (2024)
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)
by: Li, Elvin, et al.
Published: (2025)
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research
by: Belarbi, Othmane, et al.
Published: (2025)
by: Belarbi, Othmane, et al.
Published: (2025)
FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
by: Boswell, Bradley, et al.
Published: (2025)
by: Boswell, Bradley, et al.
Published: (2025)
Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics
by: Al-Dahmani, Asma, et al.
Published: (2026)
by: Al-Dahmani, Asma, et al.
Published: (2026)
Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
by: Akif, Md Ahnaf, et al.
Published: (2025)
by: Akif, Md Ahnaf, et al.
Published: (2025)
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
by: Panopoulos, Ioannis, et al.
Published: (2025)
by: Panopoulos, Ioannis, et al.
Published: (2025)
REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack
by: Zhan, Zhonghao, et al.
Published: (2025)
by: Zhan, Zhonghao, et al.
Published: (2025)
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
by: Ali, Anas, et al.
Published: (2025)
by: Ali, Anas, et al.
Published: (2025)
Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape
by: Rehman, Muaan Ur, et al.
Published: (2026)
by: Rehman, Muaan Ur, et al.
Published: (2026)
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
by: Mustafa, Abdul, et al.
Published: (2025)
by: Mustafa, Abdul, et al.
Published: (2025)
Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems
by: Gueriani, Afrah, et al.
Published: (2024)
by: Gueriani, Afrah, et al.
Published: (2024)
Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
by: Islam, Md Shamimul, et al.
Published: (2026)
by: Islam, Md Shamimul, et al.
Published: (2026)
Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)
by: Wu, Jiashu, et al.
Published: (2023)
Lightweight Cryptanalysis of IoT Encryption Algorithms : Is Quota Sampling the Answer?
by: Cook, Jonathan, et al.
Published: (2024)
by: Cook, Jonathan, et al.
Published: (2024)
1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT
by: Arslan, Muhammad, et al.
Published: (2024)
by: Arslan, Muhammad, et al.
Published: (2024)
LiteShield: Hybrid Feature Selection-Driven Lightweight Intrusion Detection for Resource-Constrained IoT Networks
by: Mabulage, Dileepa, et al.
Published: (2026)
by: Mabulage, Dileepa, et al.
Published: (2026)
Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
by: Bas, Sumeyye, et al.
Published: (2025)
by: Bas, Sumeyye, et al.
Published: (2025)
Cryptographically Secure Pseudo-Random Number Generation (CS-PRNG) Design using Robust Chaotic Tent Map (RCTM)
by: Irfan, Muhammad, et al.
Published: (2024)
by: Irfan, Muhammad, et al.
Published: (2024)
Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
by: Akif, Md Ahnaf
Published: (2025)
by: Akif, Md Ahnaf
Published: (2025)
Evaluating Tabular Representation Learning for Network Intrusion Detection
by: Butt, Muhammad Usman, et al.
Published: (2026)
by: Butt, Muhammad Usman, et al.
Published: (2026)
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
by: Friji, Hamdi, et al.
Published: (2024)
by: Friji, Hamdi, et al.
Published: (2024)
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Key-Conditioned Orthonormal Transform Gating (K-OTG): Multi-Key Access Control with Hidden-State Scrambling for LoRA-Tuned Models
by: Khan, Muhammad Haris
Published: (2025)
by: Khan, Muhammad Haris
Published: (2025)
An IoT-Enabled Smart Home Automation System for Energy Efficiency with Web-Based Control
by: Ahmed, Amaan, et al.
Published: (2026)
by: Ahmed, Amaan, et al.
Published: (2026)
Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic
by: A, Saravanan, et al.
Published: (2026)
by: A, Saravanan, et al.
Published: (2026)
A Framework for Detection and Classification of Attacks on Surveillance Cameras under IoT Networks
by: Amjid, Umair, et al.
Published: (2025)
by: Amjid, Umair, et al.
Published: (2025)
Sdn Intrusion Detection Using Machine Learning Method
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
by: Silva, Miguel, et al.
Published: (2024)
by: Silva, Miguel, et al.
Published: (2024)
A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
by: Menssouri, Safaa, et al.
Published: (2025)
by: Menssouri, Safaa, et al.
Published: (2025)
Similar Items
-
XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT
by: Aslam, Ambreen, et al.
Published: (2026) -
Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture
by: Naeem, Amna, et al.
Published: (2025) -
Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
by: Ieropoulos, Vasilis, et al.
Published: (2026) -
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures
by: Afzaal, Hanzala, et al.
Published: (2026) -
Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)