49 hasil
Menampilkan 1–20 · 1,07 detik · RSS
IEEE Internet of Things Journal
Scopus
ISSN 2327-4662 · Institute of Electrical and Electronics Engineers · 49 artikel di indeks
-
Artikel Jurnal Teks lengkap
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
The fiercely competitive business environment and increasingly personalized customization needs are driving the digital transformation and upgrading of the manufacturing industry. IIoT intelligence, which can provide innovative and efficient solutions for various aspects of the manufacturing value…
-
Artikel Jurnal Teks lengkap
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
By interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin (DT) is promised to promote an intelligent, predictive, and optimized modern city. Via interconnecting massive physical entities and their virtual twins with inter-twin and intra-twin…
-
Artikel Jurnal Teks lengkap
AI for UAV-Assisted IoT Applications: A Comprehensive Review
With the rapid development of the Internet of Things (IoT), there are a dramatically increasing number of devices, leading to the fact that only using terrestrial infrastructure can hardly provide high-quality services to all devices. Due to their flexibility, maneuverability, and economy, unmanned…
-
Artikel Jurnal Teks lengkap
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
Integrated sensing and communication (ISAC) has the advantages of efficient spectrum utilization and low hardware cost. It is promising to be implemented in the fifth-generation-advanced (5G-A) and sixth-generation (6G) mobile communication systems, having the potential to be applied in intelligent…
-
Artikel Jurnal Teks lengkap
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ unmanned aerial vehicles (UAVs/drones). The success of most UAV-based IoT applications is heavily dependent on artificial intelligence (AI) technologies, for instance, computer vision and path…
-
Artikel Jurnal
An Enhanced AI-Based Network Intrusion Detection System Using Generative Adversarial Networks
As communication technology advances, various and heterogeneous data are communicated in distributed environments through network systems. Meanwhile, along with the development of communication technology, the attack surface has expanded, and concerns regarding network security have increased…
-
Artikel Jurnal Teks lengkap
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Global buildings account for about 30% of the total energy consumption and carbon emission, raising severe energy and environmental concerns. Therefore, it is significant and urgent to develop novel smart building energy management (SBEM) technologies for the advance of energy efficient and green…
-
Artikel Jurnal Teks lengkap
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges
With the rapid development of marine activities, there has been an increasing number of Internet-of-Things (IoT) devices on the ocean. This leads to a growing demand for high-speed and ultrareliable maritime communications. It has been reported that a large performance loss is often inevitable if…
-
Artikel Jurnal
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic images across medical institutions is usually prohibited due to patients' privacy concerns. This causes the issue of…
-
Artikel Jurnal Teks lengkap
Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of interconnected devices, allowing the use of various smart applications. The enormous number of IoT devices generates a large volume of data that requires further intelligent data analysis and processing methods…
-
Artikel Jurnal
X-IIoTID: A Connectivity-Agnostic and Device-Agnostic Intrusion Data Set for Industrial Internet of Things
Industrial Internet of Things (IIoT) is a high-value cyber target due to the nature of the devices and connectivity protocols they deploy. They are easy to compromise and, as they are connected on a large scale with high-value data content, the compromise of any single device can extend to the…
-
Artikel Jurnal
ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets
The Internet of Things (IoT) is reshaping our connected world as the number of lightweight devices connected to the Internet is rapidly growing. Therefore, high-quality research on intrusion detection in the IoT domain is essential. To this end, network intrusion data sets are fundamental, as many…
-
Artikel Jurnal Teks lengkap
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays involve many electronic control units connected through intravehicle networks (IVNs) to implement various functionalities and perform actions. Modern vehicles are also connected to external networks through…
-
Artikel Jurnal Teks lengkap
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System
The advancement of Internet of Things (IoT) technologies leads to a wide penetration and large-scale deployment of IoT systems across an entire city or even country. While IoT systems are capable of providing intelligent services, the large amount of data collected and processed in IoT systems also…
-
Artikel Jurnal
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT
Along with the rapid development of cloud computing, IoT, and AI technologies, cloud video surveillance (CVS) has become a hotly discussed topic, especially when facing the requirement of real-time analysis in smart applications. Object detection usually plays an important role for environment…
-
Artikel Jurnal Teks lengkap
6G Internet of Things: A Comprehensive Survey
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) toward a future of fully intelligent and autonomous systems. In this article, we explore the emerging opportunities brought by 6G…
-
Artikel Jurnal Teks lengkap
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the massive volume of data generated from ubiquitous mobile devices for enabling intelligent services with the help of artificial intelligence (AI). Traditionally, AI techniques often require centralized data…
-
Artikel Jurnal
Graph Neural Networks for Anomaly Detection in Industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of traditional industries toward Industry 4.0. By connecting sensors, instruments, and other industry devices to the Internet, IIoT facilitates the data collection, data analysis, and automated control…
-
Artikel Jurnal Teks lengkap
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks
Terrestrial communication networks mainly focus on users in urban areas but have poor coverage performance in harsh environments, such as mountains, deserts, and oceans. Satellites can be exploited to extend the coverage of terrestrial fifth-generation networks. However, satellites are restricted…
-
Artikel Jurnal
IoT and Fog-Computing-Based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 Using Machine Learning
The assets in Industry 4.0 are categorized into physical, virtual, and human. The innovation and popularization of ubiquitous computing enhance the usage of smart devices: RFID tags, QR codes, LoRa tags, etc., for asset identification and tracking. The generated data from the Industrial Internet of…