:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chandekar, Prathamesh, Mehta, Mansi, Chandan, Swet
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2502.11854
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
by: Jaiswal, Rahul, et al.
Published: (2026)

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
by: Jaiswal, Rahul, et al.
Published: (2026)

Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
by: Yacoubi, Mohammed, et al.
Published: (2025)

Enabling Zero Trust Security in IoMT Edge Network
by: Allouzi, Maha Ali, et al.
Published: (2024)

Threats and Security Strategies for IoMT Infusion Pumps
by: Yener, Ramazan, et al.
Published: (2025)

Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
by: Elsayed, Nelly, et al.
Published: (2025)

A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS
by: Dzamesi, Lily, et al.
Published: (2025)

QT-PUF: Quantum Tunneling Leakage Based PUF for Implantable IoMT Devices
by: Ma, Yueqi, et al.
Published: (2026)

Securing the Internet of Medical Things (IoMT): Real-World Attack Taxonomy and Practical Security Measures
by: Deb, Suman, et al.
Published: (2025)

SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments
by: Gueriani, Afrah, et al.
Published: (2026)

Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024)

Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
by: Ghajari, Ghazal, et al.
Published: (2025)

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
by: Carnier, Rodrigo Matos, et al.
Published: (2025)

Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
by: Ghajari, Ghazal, et al.
Published: (2025)

Concept Drift Detection using Ensemble of Integrally Private Models
by: Varshney, Ayush K., 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)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)

A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)

Global Context Enhanced Anomaly Detection of Cyber Attacks via Decoupled Graph Neural Networks
by: Hafez, Ahmad
Published: (2024)

Anomaly Detection in OKTA Logs using Autoencoders
by: Cain, Jericho, et al.
Published: (2024)

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
by: Emelianova, Natalia, et al.
Published: (2025)

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

Graph Attention Networks with Physical Constraints for Anomaly Detection
by: Homaei, Mohammadhossein, et al.
Published: (2026)

Hybrid Ensemble Method for Detecting Cyber-Attacks in Water Distribution Systems Using the BATADAL Dataset
by: Ahmed, Waqas
Published: (2025)

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs
by: Chatzimiltis, Sotiris, et al.
Published: (2025)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
by: Al-Hammouri, Mohammad F., et al.
Published: (2025)

Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models
by: Mithsara, W. K. M, et al.
Published: (2025)

A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
by: Hossain, Md. Alamgir, et al.
Published: (2025)

Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
by: Yang, Tao, et al.
Published: (2022)

siForest: Detecting Network Anomalies with Set-Structured Isolation Forest
by: Djidjev, Christie
Published: (2024)

Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
by: Wang, Shuzhan, et al.
Published: (2024)

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
by: Jiang, Laura, et al.
Published: (2025)

An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
by: Zhao, Chunheng, et al.
Published: (2024)

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
by: Chaudhary, Devashish, et al.
Published: (2026)

Federated Bayesian Network Ensembles
by: van Daalen, Florian, et al.
Published: (2024)

Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
by: Hasan, Mohammad, et al.
Published: (2024)

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

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
by: Schulze, J. -P., et al.
Published: (2021)