Yet the internet of Things continues to grow significantly. A cyber-physical system faces a variety of security challenges due to the network connections made by the various kinds of devices and large systems that mak...
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Illegal access to the internet of things (IoT) and computer networks results in severe security damage, which must be protected by intrusion detection systems (IDS). In this paper, a novel intrusion detection method i...
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With the advancement of Software-Defined networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional networksystems with emergin...
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Smart cities can be described as the integration of advanced technologies mainly comprising the internet of Things (IoT) technology in an effort to change urban environments by increasing efficiency, sustainability, a...
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ISBN:
(纸本)9798331527549
Smart cities can be described as the integration of advanced technologies mainly comprising the internet of Things (IoT) technology in an effort to change urban environments by increasing efficiency, sustainability, and quality of life for its citizens. Through IoT networks in smart cities, people can gather data, process data in real time, and analyze different industries, for example, transportation, energy management, healthcare, waste management, and public safety. However, the deployment of such interdependent devices raises numerous concerns with regard to data privacy and security. The vast quantities of data produced and exchanged among IoT networks comprise sensitive personal and operational information. This places these systems at high risk from unauthorized access, data breaches, and cyberattacks. In light of this, this paper reviews the state-of-the-art in smart city IoT network protection, analyzing methodology approaches to safeguarding data throughout its lifecycle. Some critical areas of focus revolve around encryption protocols to ensure the safety of the data itself during its transmission and storage, privacy preserving techniques that reduce the publicity of individual information, and network defence mechanisms that can discover and break cyber threats. We discuss such frameworks as encryption algorithms, access control mechanisms, intrusion detection systems, blockchain-based security approaches, and privacy-preserving methods such as differential privacy and homomorphic encryption. The paper outlines these approaches and comparatively evaluates their strengths, weaknesses, and applicability to diverse contexts of IoT networks within the context of smart cities. Comparison between approaches shows significant trade-offs regarding efficiency, scalability, and effectiveness in terms of privacy;thus, customized solutions will depend on the unique demands of each application area. Additional to the discussion above, we discuss the way ahead for sm
Indoor air pollution is a major environmental health problem. Exposure to air pollutants can cause many negative health effects, including respiratory problems and heart diseases. To control indoor air pollution, cont...
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ISBN:
(纸本)9798350312546
Indoor air pollution is a major environmental health problem. Exposure to air pollutants can cause many negative health effects, including respiratory problems and heart diseases. To control indoor air pollution, continuous monitoring is necessary. This paper presents an air pollution monitoring system based on the internet of Things (IoT), which refers to the network of physical objects embedded with sensors, software, and connectivity to enable them to exchange data with other connected devices and systems over the communication network. It is suggested to use optical wireless communication (OWC) via light fidelity (Li-Fi) that utilizes visible LED lighting for data transmission purposes. Visible light communication (VLC) was selected due to the current congestion of the radio frequency band, which is extensively employed for data transmission and unable to satisfy the requirements of the forthcoming 6th generation networks. In this paper, the air pollution monitoring system consists of a MQ135 sensor and a dust module sensor to measure polluted data in an indoor environment;the sensors are connected to the Arduino microcontroller for digital processing;and the measured data are transmitted to the ThingSpeak cloud by utilizing an ESP-32 module. The user can access the ThingSpeak web application to monitor air pollution levels through the VLC system. Optisystem tool V18 simulates the VLC system connected with fiber optic channel (FOC) and free-space optic (FSO) channels to transmit the link of the web application to the end user. This paper intends to verify the performance of the VLC system. The proposed system's performance was evaluated based on the quality factor and the bit error rate (BER) at varying distances in dusty weather. The proposed system demonstrated a satisfactory performance up to an estimated distance of 1300 m in dusty conditions. Despite the challenging environmental conditions encountered by the transmission network, VLC has shown its capabili
The internet of Things (IoT) is viewed as the umbrella under which heterogeneous devices are connected to form what is called the network of the future (NoF). In the IoT era, all objects and devices are instrumented, ...
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Unmanned aerial vehicles, or UAVs, are the most sophisticated remote sensing instruments available today, revolutionizing the process of gathering vast amounts of data. In addition to serving as sensors, they assist i...
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The concept of Industry 4.0 is closely associated with the development of new innovative computing methods such as Artificial Intelligence (AI), Machine Learning (ML) and Cloud Computing, and new visualization and mea...
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Electrical lighting systems contribute to approximately 20% of global electricity consumption and 6% of carbon dioxide (CO2) emissions, underlining the urgent need for more efficient and adaptable lighting solutions. ...
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This paper investigates the challenges posed by delays in Closed-Loop Sense-Act systems in the context of Adversarial internet of Things (IoT) applications. Prior work focused on studying the impact of delays on a sin...
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ISBN:
(纸本)9798350321814
This paper investigates the challenges posed by delays in Closed-Loop Sense-Act systems in the context of Adversarial internet of Things (IoT) applications. Prior work focused on studying the impact of delays on a single resource-constrained platform. To capitalize on the capabilities of different computing platforms, this work investigates the adaptation of control placement to optimize application performance in distributed settings. An Adaptive control Placement (ACP) strategy is introduced, which dynamically switches between a local controller with lower accuracy and a cloud controller with higher accuracy based on network dynamics, optimizing overall application performance. The effectiveness of the ACP strategy is evaluated using a simulated Vehicle Following application in the PyBullet simulator. The results demonstrate that in terms of a time-to-complete (TTC) metric, the ACP strategy consistently outperforms strategies that use a fixed combination of controller type and location (e.g., PID at Local and MPC at Cloud) across various deadline scenarios.
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