Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy

Abstract The rapid expansion of IoT devices has introduced significant cybersecurity risks, as attackers increasingly exploit these networks’ vulnerabilities. To counter this threat, this paper presents the Privacy-Enhanced IoT Defence System (PEIoT-DS), a novel solution that emphasises data privacy...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Ansam Khraisat, Ammar Alazab, Moutaz Alazab, Areej Obeidat, Sarabjot Singh, Tony Jan
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Springer 2025-06-01
سلاسل:	Discover Internet of Things
الموضوعات:	Federated learning Data privacy Communication network security Anomaly detection Intrusion detection system
الوصول للمادة أونلاين:	https://doi.org/10.1007/s43926-025-00169-7
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!