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Discover Internet of Things
Scopus
ISSN 2730-7239 · Springer · 396 artikel di indeks
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Artikel Jurnal
An integrated IoT and blockchain lightweight framework for secure smart cities
Abstract Smart cities driven by the Internet of Things (IoT) transform urban environments through data-driven service and intelligent automation. These systems remain subject to cyberattacks, data manipulation, and privacy breaches due to centralized IoT architectures and limited resources. In this…
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Artikel Jurnal
A Gamma-enhanced Naïve Bayes model for robust intrusion detection in IoMT networks
Abstract In the Internet of Medical Things (IoMT), intrusion detection systems (IDS) must be lightweight yet capable of modeling highly skewed, burst-like traffic produced by medical devices and real-time monitoring nodes. Traditional Gaussian Naïve Bayes often underperforms in this setting due to…
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Artikel Jurnal
Residual temporal CNNs for emerging cyber threat detection in healthcare IoT
Abstract The rapid advancement of Internet of Things (IoT) technologies has accelerated the emergence of healthcare-IoT (H-IoT) systems. These systems rely on wearable devices to monitor patient vitals and enable timely alerts in precision healthcare settings. Despite these benefits, a single H-IoT…
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Artikel Jurnal
Analyzing cybersecurity gaps in medical device procurement using NLP and vulnerability databases
Abstract Medical devices are increasingly connected to public networks, offering benefits such as remote diagnosis but also introducing new cybersecurity risks. One pathway to strengthening protection at the design stage is to ensure that procurement requirements explicitly incorporate…
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Artikel Jurnal
Network topology security analysis and attack detection based on graph neural networks
Abstract As the complexity of computer networks continues to rise, the number of security vulnerabilities and problems will also increase. Typical intrusion detection systems may struggle to detect complex attacks. The purpose of this study is to provide a reliable intrusion detection system based…
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Artikel Jurnal
Systematic review on securing IoT systems with post quantum cryptography emerging threats, countermeasures, and future research needs
Abstract The rapid deployment of Internet of Things (IoT) devices across critical infrastructure’s sectors such as healthcare, transportation, and smart cities brings unprecedented security challenges; particularly as quantum computing threatens the classical cryptography. This systematic review…
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Artikel Jurnal
Application of wearable positioning system based on sensor network in rural tourism management
Abstract This study investigates the use of wearable positioning systems supported by sensor networks for rural tourism management. A novel Advanced Kalman Filter Tourism based on Sensor Network (AKFT-SN) is proposed to integrate infrastructure monitoring, tourist interaction platforms, and…
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Artikel Jurnal
An enhanced meta-heuristic algorithm for multi-objective Internet of Things (IoT) in Fog environment
Abstract The Internet of Things (IoT) has opened its wide spectrum of applications in various fields like Smart health care, Industry 4.0 and even intelligent transportation system. With the growth of the population, data generated by IoT devices grows exponentially every day, causing a scarcity of…
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Artikel Jurnal
Trustfed a scalable privacy preserving federated AI framework for industrial IoT healthcare and finance
Abstract The integration of AI, IoT, and edge–cloud computing is accelerating smart industrial system improvements, particularly in healthcare and finance. This paper presents TrustFed, a secure and privacy-preserving federated AI platform, to address IIoT data privacy, security, and scalability…
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Artikel Jurnal
Fundamentals applications of blockchain impact on intelligent healthcare systems
Abstract The advent of advanced technologies such as blockchain (BC), artificial intelligence (AI), big data, and the internet of things (IoT) promises a transformative era in healthcare. BC offers solutions to critical healthcare challenges including data interoperability, security, and patient…
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Artikel Jurnal
Resource efficient task scheduling in fog assisted IoMT using low rate wireless personal area networks
Abstract The Internet of Medical Things (IoMT) employs IEEE 802.15.4/6LowPan-based wearable sensors to facilitate continuous health monitoring, generating critical data that demands low-latency and energy-efficient processing. However, the constrained bandwidth and energy budgets of these sensors…
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Artikel Jurnal
Enhanced detection and mitigation of HELLO flood attacks in IoT networks using modified deep neural networks and optimization algorithms
Abstract Internet of Things (IoT) is intermittently targeted by Distributed Denial of Service (DDoS) attacks, which occupy computational resources and bandwidth for preventing potential users from accessing services. The attack strategy involves massively flooding of packets. As the use of IoT…
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Artikel Jurnal
IoT adoption for sustainable performance in SMEs using an SEM-ANN approach
Abstract This research examines the adoption of the Internet of Things (IoT) by small and medium enterprises (SMEs) in Bangladesh using the Technology-Organization-Environment (TOE) model and the Resource-Based View (RBV) theory. This study integrates these frameworks to assess the factors…
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Artikel Jurnal
Adaptive DEBKA for joint beamforming and spectrum sharing in 6G massive MIMO IoT networks
Abstract Joint hybrid beamforming and underlay spectrum sharing in sixth-generation (6G) massive multiple-input multiple-output (MIMO) Internet-of-Things (IoT) networks yields a non-convex mixed continuous-discrete problem involving constant-modulus analog precoding, subchannel-dependent digital…
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Artikel Jurnal
Design of an IoT sensor-based network architecture for waste collection in Bukavu city (DRC)
Abstract Bukavu (DRC) experiences significant waste management challenges, exacerbated by rapid urbanization. The city produces approximately 898 tons of waste daily. Yet only 7% is collected through an inefficient system, increasing sanitation and environmental risks. This study designs and…
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Artikel Jurnal
Vision-assisted optimization of coagulation–flocculation parameters using a joint YOLOv11 and U-Net + + framework
Abstract This study investigates a defined coagulation–flocculation–sedimentation unit for variable-composition chemical wastewater rather than treating wastewater treatment as a single universal process. A joint YOLOv11 and U-Net + + perception model was developed to identify suspended particles…
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Artikel Jurnal
Deep reinforcement learning-optimized adaptive authenticated encryption and dynamic transmission control for secure LoRaWAN IoT communication
Abstract The growth of Internet of Things (IoT) devices in the industrial, environmental and urban sectors has raised the need for secure, energy efficient, and adaptive communication solutions. The LoRa (Long Range) technology combined with the LoRaWAN protocol stack is very promising due to its…
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Artikel Jurnal
A review of lightweight intrusion detection and security mechanisms for resource constrained IoT and WSNs
Abstract Resource-constrained Internet of Things (IoT) devices and wireless sensor networks (WSNs) remain difficult to secure using conventional security mechanisms because their sensing, forwarding, and processing nodes operate with limited memory, computation, energy, bandwidth, and…
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Artikel Jurnal
Hybrid QPSO-CNN framework for multi-objective notch band selection in cognitive radio networks
Abstract Cognitive radio (CR) systems require dynamic spectrum management and efficient interference mitigation through reconfigurable notch band antennas. This paper proposes a hybrid framework combining Quantum-Inspired Particle Swarm Optimization (QPSO) with Deep Convolutional Neural Networks…
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Artikel Jurnal
Deep learning-based adaptive image compression and narrowband communication bandwidth matching optimization system
Abstract The growing requirement to deliver high-resolution pictures over NB channels poses a significant problem: maintaining picture quality while minimizing bandwidth. Common compression algorithms typically employ constant bit rate encoding, which fails to adapt to changing network conditions…