A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems

A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems

<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. However, the increasing adoption of FL in these devices exposes them to adversarial attack...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Faria Nawshin (21841598) (author)
مؤلفون آخرون: Devrim Unal (16864224) (author), Mohammad Hammoudeh (7211567) (author), Ponnuthurai N. Suganthan (17347024) (author)
منشور في: 2025
الموضوعات:
Information and computing sciences
Cybersecurity and privacy
Machine learning
Genetic algorithms
adversarial attacks
federated learning
distributed systems
benign
android malware
Perturbation methods
Malware
Consumer electronics
Optimization
Closed box
Security
Operating systems
Data privacy
Adaptation models
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