A Privacy-Preserving Federated Learning System for Android Malware Detection Based on Edge Computing

Yi-Cheng Wang
Yi-Cheng Wang
Ting-Wei Wu
Ting-Wei Wu
Shang-Wei Kao
Shang-Wei Kao

AsiaJCIS, pp. 128-136, 2020.

Cited by: 0|Views3
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Abstract:

This paper presents a privacy-preserving federated learning (PPFL) system for the detection of android malware. The proposed PPFL allows mobile devices to collaborate together for training a classifier without exposing the sensitive information, such as the application programming interface (API) calls and permission configuration, and th...More

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