As the development of wireless networks advances towards the deployment of 6G technology, ensuring robust security measures becomes crucial. In this paper, we propose 6G-SECUREIDS, a novel intrusion detection system d...
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Increasing the reliability of multihop industrial wireless sensor networks (IWSNs) is an important challenge to enable continuous data collection in industrial processes. One approach for increasing reliability is mul...
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Practical applications of artificial intelligence increasingly often have to deal with the streaming properties of real data, which, considering the time factor, are subject to phenomena such as periodicity and more o...
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The explosive growth in video services has significantly strained current mobile network infrastructure, leading to spectrum scarcity, backhaul congestion, and degraded quality of experience. While edge caching has em...
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Reliability analysis based on fault trees is one of the important methods for determining the cause of system failure by beginning from the top event and proceeding to the basic events, however, it is usually overlook...
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Currently, most data requires stream processing. This kind of processing causes new challenges in classifier learning method, such as data difficulties for example data imbalance since we cannot observe the entire set...
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In Europe, the C-ITS Security Certificate Management System supplies pseudonymous credentials to valid stations, allowing them to authenticate each other when exchanging messages. Detecting misbehavior and evicting of...
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The presented study focuses on imbalanced data stream classification that requires fast processing of incoming data without memorizing it. An additional difficulty is the imbalanced data distribution, i.e., significan...
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Various methods have been introduced and developed to analyze fault tree diagrams. One of the interesting methods is fault tree conversion to Binary Decision Diagram (BDD). However, the conversion process of fault tre...
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As the development of wireless networks advances towards the deployment of 6G technology, ensuring robust security measures becomes crucial. In this paper, we propose 6G-SECUREIDS, a novel intrusion detection system d...
As the development of wireless networks advances towards the deployment of 6G technology, ensuring robust security measures becomes crucial. In this paper, we propose 6G-SECUREIDS, a novel intrusion detection system designed specifically for 6G wireless networks. The system leverages machine learning techniques and blockchain technology to detect and mitigate security threats, safeguard data privacy, and ensure efficient and optimized training. Our experimental results demonstrate the effectiveness and reliability of the system, with the clients achieving high accuracy scores across different model architectures. The promising results highlight the potential of 6G-SECUREIDS as a valuable security solution for future 6G networks, contributing to the overall protection and integrity of the wireless communication ecosystem.
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