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IoT, Volume 6, Issue 2

June 2025 - 14 articles

Cover Story: Smart grids are increasingly vulnerable to cyberattacks, with the Manufacturing Message Specification (MMS) protocol being a prime target. This study presents a groundbreaking approach that treats network packets as text documents, applying natural language processing techniques combined with deep learning for intrusion detection. Using a bidirectional LSTM autoencoder with TF-IDF vectorization and SVD, the method learns patterns from normal traffic without requiring labeled attack data. The system achieved a 96.63% attack detection rate on MMS traffic, demonstrating that unsupervised AI can effectively protect critical infrastructure. This novel text mining perspective opens new avenues for cybersecurity in industrial control systems. View this paper

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Review

6 Citations

4,689 Views

26 Pages

A Lightweight Encryption Method for IoT-Based Healthcare Applications: A Review and Future Prospects

Omar Sabri,
Bassam Al-Shargabi,
Abdelrahman Abuarqoub and
Tahani Ali Hakami

IoT2025, 6(2), 23;https://doi.org/10.3390/iot6020023

20 April 2025

The rapid proliferation of Internet of Things (IoT) devices in healthcare, from wearable sensors to implantable medical devices, has revolutionised patient monitoring, personalised treatment, and remote care delivery. However, the resource-constraine...

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Article

4 Citations

1,584 Views

22 Pages

Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks

Joseph Azar,
Mohammed Al Saleh,
Raphaël Couturier and
Hassan Noura

IoT2025, 6(2), 22;https://doi.org/10.3390/iot6020022

26 March 2025

The Manufacturing Message Specification (MMS) protocol is frequently used to automate processes in IEC 61850-based substations and smart-grid systems. However, it may be susceptible to a variety of cyber-attacks. A frequently used protection strategy...

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Review

10 Citations

9,277 Views

39 Pages

Driving Supply Chain Transformation with IoT and AI Integration: A Dual Approach Using Bibliometric Analysis and Topic Modeling

Jerifa Zaman,
Atefeh Shoomal,
Mohammad Jahanbakht and
Dervis Ozay

IoT2025, 6(2), 21;https://doi.org/10.3390/iot6020021

25 March 2025

The objective of this study is to conduct an analysis of the scientific literature on the application of the Internet of Things (IoT) and artificial intelligence (AI) in enhancing supply chain operations. This research applies a dual approach combini...

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Article

3 Citations

3,392 Views

24 Pages

IoT-Based Framework for Connected Municipal Public Services in a Strategic Digital City Context

Danieli Aparecida From,
Denis Alcides Rezende and
Donald Francisco Quintana Sequeira

IoT2025, 6(2), 20;https://doi.org/10.3390/iot6020020

25 March 2025

The use of digital technology resources in public services enhances efficiency, responsiveness, and citizens’ quality of life through improved resource management, real-time monitoring, and service performance. The objective is to create and ap...

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