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...

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Bibliographic Details
Main Author: Faria Nawshin (21841598) (author)
Other Authors: Devrim Unal (16864224) (author), Mohammad Hammoudeh (7211567) (author), Ponnuthurai N. Suganthan (17347024) (author)
Published: 2025
Subjects:
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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