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Updated: Jun 1, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

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调查多变量LSTM模型的性能,以预测分布式拒绝服务 (DDoS) 攻击的发生

Prashant Kumar1, Chitra Kushwaha2, Dimple Sethi1

  • 1Bennett University (The Times Group), Greater Noida, Uttar Pradesh, India.

PloS one
|January 17, 2025
PubMed
概括

这项研究提高了使用像LSTM这样的深度学习模型来预测分布式拒绝服务 (DDoS) 攻击. 研究表明,与现有的方法相比,在识别和减轻这些普遍的网络威胁方面,研究的准确性更高.

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