JOLT
发表于 2025-3-21 17:58:50
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moribund
发表于 2025-3-21 22:18:20
specifically, the feature augmentation technique is implemented on the original features with goal of obtaining high-qualified training data; and then, pls-logistic regression is applied on the newly transformed data to perform dimension reduction and detection model building. The NSL-KDD dataset i
PHIL
发表于 2025-3-22 03:27:03
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CRUDE
发表于 2025-3-22 06:51:19
Pietro Hiram Guzzi,Elio Masciari,Giuseppe Massimiliano Mazzeo,Carlo Zanioload cyberattacks using malicious code can cause remarkable physical damage, such as blackouts and disruptions in power production, as attack vectors to manipulate critical infrastructure. To detect incoming attacks and mitigate the performance of those attacks, we introduce defensive mechanisms to pr
水汽
发表于 2025-3-22 10:19:18
Sebastian Goebl,Anke Meyer-Baese,Marc Lobbes,Claudia Plant security threats in this kind of environments. The latest challenges for the operating environment are heterogeneous tele-communication networks where new devices and systems are seamlessly interconnected. These systems are now coming into smart homes, smart buildings and into marketplaces, into sm
Migratory
发表于 2025-3-22 16:56:52
Mario A. Bochicchio,Lucia Vaira,Antonella Longo,Antonio Malvasi,Andrea Tinelli security threats in this kind of environments. The latest challenges for the operating environment are heterogeneous tele-communication networks where new devices and systems are seamlessly interconnected. These systems are now coming into smart homes, smart buildings and into marketplaces, into sm
reserve
发表于 2025-3-22 17:16:33
Qingshan Li,Jing Feng,Lu Wang,Hua Chu,He Yuer’s targeted bypassing. At the same time, with the accumulation of training samples, the detection accuracies of the detection model in different application environments will gradually improvements, which has clear advantages over traditional machine learning algorithms.
清澈
发表于 2025-3-22 21:56:02
Eshref Januzajer’s targeted bypassing. At the same time, with the accumulation of training samples, the detection accuracies of the detection model in different application environments will gradually improvements, which has clear advantages over traditional machine learning algorithms.
Concrete
发表于 2025-3-23 03:30:58
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宏伟
发表于 2025-3-23 07:30:57
Taymi Ceruto,Orenia Lapeira,Annika Tonch,Claudia Plant,Rafael Espin,Alejandro Roseteer’s targeted bypassing. At the same time, with the accumulation of training samples, the detection accuracies of the detection model in different application environments will gradually improvements, which has clear advantages over traditional machine learning algorithms.