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Less is More: A privacy-respecting Android malware classifier using federated learning
2021
Proceedings on Privacy Enhancing Technologies
In this paper we present LiM ('Less is More'), a malware classification framework that leverages Federated Learning to detect and classify malicious apps in a privacy-respecting manner. Information about newly installed apps is kept locally on users' devices, so that the provider cannot infer which apps were installed by users. At the same time, input from all users is taken into account in the federated learning process and they all benefit from better classification performance. A key
doi:10.2478/popets-2021-0062
fatcat:s3abkiawdjfd3i6c4cgzipnn6m