Special Issues
Table of Content

Advances in IoT Security: Challenges, Solutions, and Future Applications, 2nd Edition

Submission Deadline: 20 October 2026 View: 883 Submit to Special Issue

Guest Editor(s)

Dr. Samsul Huda

Email: shuda@okayama-u.ac.jp

Affiliation: Interdisciplinary Education and Research Field, Okayama University, Okayama, Japan

Homepage:

Research Interests: IoT, computer networks and network security

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Prof. Yasuyuki Nogami

Email: yasuyuki.nogami@okayama-u.ac.jp

Affiliation: Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, Japan

Homepage:

Research Interests: information security, cryptography, finite field theory and its application

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Prof. Toru Nakanishi

Email: t-nakanishi@hiroshima-u.ac.jp

Affiliation: Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan

Homepage:

Research Interests: cryptography and information security

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Summary

The Internet of Things (IoT) has revolutionized various industries, including healthcare, smart cities, industrial automation, and agriculture. However, as IoT networks grow, protecting the integrity of connected devices and safeguarding sensitive data become critical concerns. The vulnerabilities of IoT devices expose them to a wide range of threats, from cyberattacks to data breaches, which can have serious consequences for individuals, organizations, and even entire nations. This special issue seeks to explore the latest advancements in IoT security, including new technologies, vulnerability analysis, secure communication protocols, frameworks, lightweight cryptographic techniques, privacy-preserving mechanisms, and methodologies to mitigate emerging security risks.

In addition, this special issue provides an overview of the current IoT security landscape and future research directions. The contributions will cover both theoretical developments and practical applications, promoting discussions on new threats and defense strategies. We welcome high-quality, original research papers, reviews, and case studies on, but not limited to, the following topics:
· Cryptography and Secure Communication in IoT
· AI/ML-Based IoT Security Solutions
· Blockchain Technology for Securing IoT Networks
· Intrusion Detection and Prevention Systems for IoT
· IoT Security Standards and Policies
· Privacy-Enhancing Technologies for IoT
· IoT Security in Specific Domains (e.g., Healthcare, Smart Homes, Industrial IoT)
· Security Architectures and Models for IoT
· Secure Firmware and Software Updates for IoT Devices


Keywords

IoT security, vulnerability analysis, cyberattacks, lightweight cryptography, privacy-preserving techniques, emerging security risks, secure communication protocols, risk mitigation, security frameworks.

Published Papers


  • Open Access

    ARTICLE

    An Improved Dream Optimization Algorithm-Driven Feature Selection Model for IoT Traffic Anomaly Detection

    Hui Xu, Shuang Qu, Pan Hu
    CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.087054
    (This article belongs to the Special Issue: Advances in IoT Security: Challenges, Solutions, and Future Applications, 2nd Edition)
    Abstract With the rapid growth in the number of end devices in the Internet of Things (IoT), network traffic has become increasingly complex and redundant, while multiple attack types often coexist, posing major challenges to traffic anomaly detection. Traditional machine learning-based methods for IoT traffic anomaly detection often suffer from severe feature redundancy, high computational complexity, and low detection efficiency, making it difficult to simultaneously achieve high detection accuracy and computational efficiency. To address this issue, metaheuristic algorithms are often introduced in the feature selection stage to reduce feature redundancy and improve detection efficiency. However, the… More >

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