Search Results - (( parallel optimization path algorithm ) OR ( data distributed denial algorithm ))
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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Minimizing machining airtime motion with an ant colony algorithm
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. …”
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An intelligent DDoS attack detection tree-based model using Gini index feature selection method
Published 2023“…Distributed denial of service (DDoS) is a denial of service (DoS) variant mainly targeting asset availability. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2022“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. …”
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