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Jun, 2023
基于深度置信网络的联邦入侵检测系统
Federated Intrusion Detection System based on Deep Belief Networks
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Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Carnelli...
TL;DR
研究使用基于联邦学习的入侵检测系统解决物联网领域中的数据安全和隐私问题,并且实验结果表明,在使用预先训练的初始全局模型的情况下,相比随机初始化的全局模型,模型性能提高了20%以上(F1得分)
Abstract
The vast increase of
iot
technologies and the ever-evolving attack vectors and threat actors have increased cyber-security risks dramatically. Novel attacks can compromise
iot
devices to gain access to sensitive
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