Federated-learning-framework-based malware classification algorithm under insufficient local training data condition

With the development of the Internet, malware classification has become a very important research issue in cybersecurity. Traditional centralized learning based malware classification techniques pay little attention to data privacy protection.In order to solve this issues, in this paper, a federated... View More