With the continuous development of mobile internettechnology, new services and applications appear, such as AR/VR, internet of Vehicles, and Ultra HD Video. They not only require higher network bandwidth resources bu...
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The construction of energy internet can realize the massive collection of load-side data, and the local utilization of load-side data through edge computing devices can effectively reduce the pressure of cloud computi...
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Software-defined networking (SDN) introduces a novel networking paradigm by decoupling control logic from forwarding operations, resulting in improved network resource management and administration efficiency. However...
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IoT devices have changed into one of the mainstays in areas like houses, industry and education, resulting in a level of convenience and efficiency that has never been achieved before. Even though the most important a...
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ISBN:
(纸本)9798350375190
IoT devices have changed into one of the mainstays in areas like houses, industry and education, resulting in a level of convenience and efficiency that has never been achieved before. Even though the most important advantage of the distributed network is raising the level of security, the problem of security vulnerabilities with the extended networks remains. This paper is devoted to a novel strategy of Federated Learning (FL) that could become an applied solution for enhancing the safety of the IoT. Therefore, based on its decentralized knowledge process, FL allows IoT devices to cooperate in achieving common purposes without endangering data pri vacy. The paper uses this thinking method to deal with scalability, model personalization, and non-IID data that aren't IID distributing, suggesting solutions through model aggregation techniques or Artificial Intelligence (AI). Experimental evidence highlights that FL is very useful in enhancing IoT security irrespective of the diversity of its applications. To this end, residents of smart homes experienced a 17% increase in detecting the anomalies through the setting up of FL. This situation was replicated in the industrial internet of Things, where the false positive rates were reduced from 20% to 5%, thus improving the system's efficiency. Furthermore, in the FL context in healthcare IoT ecosystems, this blazes a trail for privacy-preserving data analytics, preserving patient confidentiality and systematic profiling of noteworthy health trends. These findings thus demonstrate that FL is a feasible way of dealing with the security challenges of IoT scalable, promptly and in a manner that maintains user privacy. The article takes part in a conversation about ways to strengthen the security of IoT networks. Such a framework is based on the computational power of IoT devices. It allows us to detect and prevent threats in time. Nonetheless, it urges extensive R&D attempts to be introduced to develop better security solutio
Services that are delivered and managed online employ cloud computing. Without taking into account the end user's actual location, cloud computing offers data access and storage devices. Clouds are quickly becomin...
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With the remarkable improvement of the internet, there has been an important flow in technologies like cloud and fog computing. Moreover, it is important to identify the associated issues related to resource allocatio...
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Due to the unsatisfactory national public hospital management system, excessive medical costs, a lack of channels, and some other issues affecting people's ability to support themselves. The focus of public concer...
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In this research, we provide a machine learning strategy for detecting flaws during production runs. As an example of a scenario where sensors are spread out over a large industrial plants, the Tennessee Eastman Syste...
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Device recognition is the primary step toward a secure IoT system. However, the existing equipment recognition technology often faces the problems of unobvious data characteristics and insufficient training samples, r...
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A breach is detected by an intrusion detection system (IDS) by analysing events that are deemed risky from a security standpoint in systems and networks. Due to a surge in occurrences involving network security, organ...
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