An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning.
Giovanni CiaramellaFabio MartinelliFrancesco MercaldoChristian PelusoAntonella SantonePublished in: ICEIS (1) (2024)
Keyphrases
- privacy preserving
- malware detection
- machine learning
- malicious executables
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- anomaly detection
- mobile devices
- privacy sensitive
- multi party
- private information
- learning algorithm
- privacy protection
- naive bayesian classification
- privacy concerns
- sensitive data
- horizontally partitioned data
- data perturbation
- privacy issues
- differential privacy
- data privacy
- knowledge discovery
- private data
- decision trees
- privacy requirements
- data mining
- sensitive information
- scalar product
- partitioned data
- association rules
- homomorphic encryption
- data sources
- active learning