The Babylonian Journal of Internet of Things focuses on advancing IoT technologies. It offers a platform for sharing cutting-edge research and applications in sensor networks, architectures, data analytics, security, and various IoT fields. Committed to fostering innovation, it pushes the boundaries of IoT research and practical implementations

 

Current Issue

Vol. 2026 (2026)

In Progress

Published: 2026-01-10

Articles

Hybrid Neuro-Fuzzy and Swarm Optimization-Based Energy-Efficient Routing for Large-Scale IoT Networks

Mostafa Abdulghafoor Mohammed, Mohammed Rashid Subhi

57–73

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An Adaptive Data Security Frame Using Federated Learning and Blockchain for Privacy Protection in Smart Environments

Najwan Abed Hasan

1–13

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AI-Powered Trust Management and Cryptographic Access Control in IoT Systems

Dhuha Al-Adhami, Hamza Gharsellaoui, Olfa Belkahla Driss

187–196

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Hybrid Privacy-Preserving Federated Learning Framework for Secure IoT Applications Using Differential Privacy and Homomorphic Encryption

Maan Nawaf Abbood, Zahraa A. Abdalkareem

74–90

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Factor-Based Unsupervised Network Traffic Anomaly Analysis Using Density, Spectral, and Hierarchical Clustering

Wisam Hayder Mahdi, Waleed Khalid Al-Zubaidi, Isam Bahaa Aldallal, Abdullahi Abdu Ibrahim

14–25

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An Enhanced Hybrid Memetic mRMR–FOA Framework for Feature Selection in IoT Intrusion Detection Systems

Yusra Sh Ajaj

197–205

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Internet of Bio-Nano Things (IoBNT) Security: A Comprehensive Survey of Threat Models, Protocols, Mitigation Strategies, Technological Integrations, Tools, and Performance Metrics

Guma Ali, Bosco Apparatus Buruga

91–140

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Comprehensive Analysis and Anomaly Detection of Network Traffic Using Isolation Forest Modeling

Ali Subhi Alhumaima, Osama Salim Hameed, Hussein Alkattan

26–35

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Blockchain-Enabled Trust Management Framework for Internet of Things Environments

Aaron Mogeni oirere , Ali Rachini

141-157

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Network-Based Audience Influence Analysis Using Multiple Regression Models

Ruaa Azzah Suhail, Bashar Talib Al-Nuaimi, Oluwaseun A. Adelaja

36–45

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Deep Learning-Based Malware Detection and Classification Using Memory Behavioral Features

Mohammed Basil Abdulkareem, Kassem Hamze, Mohammad Abdullah Abbas

158-173

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An Explainable Hybrid Deep Learning Framework for Unsupervised Network Intrusion Detection Using Isolation Forest and Bidirectional Long Short-TermMemory Autoencoder

Aerkera Kumawuese Daniel-Beston, Aamo Iorliam

46-56

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Hybrid Deep Learning-Based Predictive Maintenance Framework for Industrial Internet of Things Systems

Ilyass mzili , Zakaria benaliali , otmane houdaif

174–186

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