About the Journal
This Journal publishes papers related to all aspects of Internet of Things, from latest advance to review articles. Articles explore IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Investigations related to topical areas of research are especially encouraged, including IoT demands, impacts, and implications on sensors technologies, big data management, and future design for various IoT use cases, such as smart cities, smart environment, smart homes, etc.
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Open Access
REVIEW
Attribute-Based Encryption for IoT Environments—A Critical Survey
Daskshnamoorthy Manivannan*
Journal on Internet of Things, Vol.7, pp. 71-97, 2025, DOI:10.32604/jiot.2025.072809 - 24 December 2025
Abstract Attribute-Based Encryption (ABE) secures data by tying decryption rights to user attributes instead of identities, enabling fine-grained access control. However, many ABE schemes are unsuitable for Internet of Things (IoT) due to limited device resources. This paper critically surveys ABE schemes developed specifically for IoT over the past decade, examining their evolution, strengths, limitations, and access control capabilities. It provides insights into their security, effectiveness, and real-world applicability, highlights the current state of ABE in securing IoT data and access, and discusses remaining challenges and open issues. More >
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Open Access
ARTICLE
Cost and Time Optimization of Cloud Services in Arduino-Based Internet of Things Systems for Energy Applications
Reza Nadimi1,*, Maryam Hashemi2, Koji Tokimatsu3
Journal on Internet of Things, Vol.7, pp. 49-69, 2025, DOI:10.32604/jiot.2025.070822 - 30 September 2025
Abstract Existing Internet of Things (IoT) systems that rely on Amazon Web Services (AWS) often encounter inefficiencies in data retrieval and high operational costs, especially when using DynamoDB for large-scale sensor data. These limitations hinder the scalability and responsiveness of applications such as remote energy monitoring systems. This research focuses on designing and developing an Arduino-based IoT system aimed at optimizing data transmission costs by concentrating on these services. The proposed method employs AWS Lambda functions with Amazon Relational Database Service (RDS) to facilitate the transmission of data collected from temperature and humidity sensors to the… More >
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Open Access
REVIEW
Comprehensive Analysis of IoT Security: Threats, Detection Methods, and Defense Strategies
Akhila Reddy Yadulla, Mounica Yenugula, Vinay Kumar Kasula*, Bhargavi Konda, Bala Yashwanth Reddy Thumma
Journal on Internet of Things, Vol.7, pp. 19-48, 2025, DOI:10.32604/jiot.2025.062733 - 11 July 2025
Abstract This study systematically reviews the Internet of Things (IoT) security research based on literature from prominent international cybersecurity conferences over the past five years, including ACM Conference on Computer and Communications Security (ACM CCS), USENIX Security, Network and Distributed System Security Symposium (NDSS), and IEEE Symposium on Security and Privacy (IEEE S&P), along with other high-impact studies. It organizes and analyzes IoT security advancements through the lenses of threats, detection methods, and defense strategies. The foundational architecture of IoT systems is first outlined, followed by categorizing major threats into eight distinct types and analyzing their More >
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Open Access
ARTICLE
Optimization of Machine Learning Methods for Intrusion Detection in IoT
Alireza Bahmani*
Journal on Internet of Things, Vol.7, pp. 1-17, 2025, DOI:10.32604/jiot.2025.060786 - 24 June 2025
Abstract With the development of the Internet of Things (IoT) technology and its widespread integration in various aspects of life, the risks associated with cyberattacks on these systems have increased significantly. Vulnerabilities in IoT devices, stemming from insecure designs and software weaknesses, have made attacks on them more complex and dangerous compared to traditional networks. Conventional intrusion detection systems are not fully capable of identifying and managing these risks in the IoT environment, making research and evaluation of suitable intrusion detection systems for IoT crucial. In this study, deep learning, multi-layer perceptron (MLP), Random Forest (RF),… More >
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Open Access
ARTICLE
Human Intelligent-Things Interaction Application Using 6G and Deep Edge Learning
Ftoon H. Kedwan*, Mohammed Abdur Rahman
Journal on Internet of Things, Vol.6, pp. 43-73, 2024, DOI:10.32604/jiot.2024.052325
Abstract Impressive advancements and novel techniques have been witnessed in AI-based Human Intelligent-Things Interaction (HITI) systems. Several technological breakthroughs have contributed to HITI, such as Internet of Things (IoT), deep and edge learning for deducing intelligence, and 6G for ultra-fast and ultralow-latency communication between cyber-physical HITI systems. However, human-AI teaming presents several challenges that are yet to be addressed, despite the many advancements that have been made towards human-AI teaming. Allowing human stakeholders to understand AI’s decision-making process is a novel challenge. Artificial Intelligence (AI) needs to adopt diversified human understandable features, such as ethics, non-biases,… More >
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Open Access
ARTICLE
Research on Robustness of Charging Station Networks under Multiple Recommended Charging Methods for Electric Vehicles
Lei Feng1, Miao Liu1, Yexun Yuan1, Chi Zhang2, Peng Geng1,*
Journal on Internet of Things, Vol.6, pp. 1-16, 2024, DOI:10.32604/jiot.2024.053584
Abstract With the rapid development of electric vehicles, the requirements for charging stations are getting higher and higher.
In this study, we constructed a charging station topology network in Nanjing through the Space-L method, mapping
charging stations as network nodes and constructing edges through road relationships. The experiment introduced
five EV charging recommendation strategies (based on distance, number of fast charging piles, user preference,
price, and overall rating) used to simulate disordered charging caused by different user preferences, and the impact
of the network dynamic robustness in case of node failure is explored by simulating the… More >
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Open Access
ARTICLE
Mean Field-Based Dynamic Backoff Optimization for MIMO-Enabled Grant-Free NOMA in Massive IoT Networks
Haibo Wang1, Hongwei Gao1,*, Pai Jiang1, Matthieu De Mari2, Panzer Gu3, Yinsheng Liu1
Journal on Internet of Things, Vol.6, pp. 17-41, 2024, DOI:10.32604/jiot.2024.054791
Abstract In the 6G Internet of Things (IoT) paradigm, unprecedented challenges will be raised to provide massive connectivity, ultra-low latency, and energy efficiency for ultra-dense IoT devices. To address these challenges, we explore the non-orthogonal multiple access (NOMA) based grant-free random access (GFRA) schemes in the cellular uplink to support massive IoT devices with high spectrum efficiency and low access latency. In particular, we focus on optimizing the backoff strategy of each device when transmitting time-sensitive data samples to a multiple-input multiple-output (MIMO)-enabled base station subject to energy constraints. To cope with the dynamic varied channel… More >
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Open Access
REVIEW
Comprehensive Analysis of IoT Security: Threats, Detection Methods, and Defense Strategies
Akhila Reddy Yadulla, Mounica Yenugula, Vinay Kumar Kasula*, Bhargavi Konda, Bala Yashwanth Reddy Thumma
Journal on Internet of Things, Vol.7, pp. 19-48, 2025, DOI:10.32604/jiot.2025.062733
Abstract This study systematically reviews the Internet of Things (IoT) security research based on literature from prominent international cybersecurity conferences over the past five years, including ACM Conference on Computer and Communications Security (ACM CCS), USENIX Security, Network and Distributed System Security Symposium (NDSS), and IEEE Symposium on Security and Privacy (IEEE S&P), along with other high-impact studies. It organizes and analyzes IoT security advancements through the lenses of threats, detection methods, and defense strategies. The foundational architecture of IoT systems is first outlined, followed by categorizing major threats into eight distinct types and analyzing their More >
-
Open Access
ARTICLE
Optimization of Machine Learning Methods for Intrusion Detection in IoT
Alireza Bahmani*
Journal on Internet of Things, Vol.7, pp. 1-17, 2025, DOI:10.32604/jiot.2025.060786
Abstract With the development of the Internet of Things (IoT) technology and its widespread integration in various aspects of life, the risks associated with cyberattacks on these systems have increased significantly. Vulnerabilities in IoT devices, stemming from insecure designs and software weaknesses, have made attacks on them more complex and dangerous compared to traditional networks. Conventional intrusion detection systems are not fully capable of identifying and managing these risks in the IoT environment, making research and evaluation of suitable intrusion detection systems for IoT crucial. In this study, deep learning, multi-layer perceptron (MLP), Random Forest (RF),… More >
-
Open Access
ARTICLE
Cost and Time Optimization of Cloud Services in Arduino-Based Internet of Things Systems for Energy Applications
Reza Nadimi1,*, Maryam Hashemi2, Koji Tokimatsu3
Journal on Internet of Things, Vol.7, pp. 49-69, 2025, DOI:10.32604/jiot.2025.070822
Abstract Existing Internet of Things (IoT) systems that rely on Amazon Web Services (AWS) often encounter inefficiencies in data retrieval and high operational costs, especially when using DynamoDB for large-scale sensor data. These limitations hinder the scalability and responsiveness of applications such as remote energy monitoring systems. This research focuses on designing and developing an Arduino-based IoT system aimed at optimizing data transmission costs by concentrating on these services. The proposed method employs AWS Lambda functions with Amazon Relational Database Service (RDS) to facilitate the transmission of data collected from temperature and humidity sensors to the… More >
-
Open Access
REVIEW
Attribute-Based Encryption for IoT Environments—A Critical Survey
Daskshnamoorthy Manivannan*
Journal on Internet of Things, Vol.7, pp. 71-97, 2025, DOI:10.32604/jiot.2025.072809
Abstract Attribute-Based Encryption (ABE) secures data by tying decryption rights to user attributes instead of identities, enabling fine-grained access control. However, many ABE schemes are unsuitable for Internet of Things (IoT) due to limited device resources. This paper critically surveys ABE schemes developed specifically for IoT over the past decade, examining their evolution, strengths, limitations, and access control capabilities. It provides insights into their security, effectiveness, and real-world applicability, highlights the current state of ABE in securing IoT data and access, and discusses remaining challenges and open issues. More >
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