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| http://dx.doi.org/10.1289/ehp.98106a280 | DOI Listing |
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Internet of Things (IoT) is one of the most important emerging technologies that supports Metaverse integrating process, by enabling smooth data transfer among physical and virtual domains. Integrating sensor devices, wearables, and smart gadgets into Metaverse environment enables IoT to deepen interactions and enhance immersion, both crucial for a completely integrated, data-driven Metaverse. Nevertheless, because IoT devices are often built with minimal hardware and are connected to the Internet, they are highly susceptible to different types of cyberattacks, presenting a significant security problem for maintaining a secure infrastructure.
View Article and Find Full Text PDFIntelligent Intrusion Detection System Against Various Attacks Based on a Hybrid Deep Learning Algorithm.
Sensors (Basel)
January 2025
Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia.
The Internet of Things (IoT) has emerged as a crucial element in everyday life. The IoT environment is currently facing significant security concerns due to the numerous problems related to its architecture and supporting technology. In order to guarantee the complete security of the IoT, it is important to deal with these challenges.
View Article and Find Full Text PDFTowards Secure Internet of Things: A Coercion-Resistant Attribute-Based Encryption Scheme with Policy Revocation.
Entropy (Basel)
January 2025
School of Computer Science, Shaanxi Normal University, Xi'an 710062, China.
With the development and application of the Internet of Things (IoT), the volume of data generated daily by IoT devices is growing exponentially. These IoT devices, such as smart wearable devices, produce data containing sensitive personal information. However, since IoT devices and users often operate in untrusted external environments, their encrypted data remain vulnerable to potential privacy leaks and security threats from malicious coercion.
View Article and Find Full Text PDFIoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks.
Sci Rep
January 2025
Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia.
The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. IoT systems are used for enabling connection between various devices based on the ability to gather and collect information. Furthermore, IoT systems are designed to address the environment and the automation industry.
View Article and Find Full Text PDFEnhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks.
Sci Rep
January 2025
College of Computing and Information Technology, University of Bisha, Bisha, Bisha, 61922, Saudi Arabia.
Smart devices are enabled via the Internet of Things (IoT) and are connected in an uninterrupted world. These connected devices pose a challenge to cybersecurity systems due attacks in network communications. Such attacks have continued to threaten the operation of systems and end-users.
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