Research on adaptive network theft Trojan detection model

This paper intends to establish theft Trojans detection system capable of adaptive dynamic feedback learning. To achieve this goal, this paper first studies the characteristics of the network data stream and theft Trojans communication data stream, then introduces support vector machine algorithm based on incremental learning, proposes the construction method of incremental learning samples, designs and implements the theft Trojan detection system with self-adaptive capability. Finally, the experimental results in a real network environment verify the effectiveness and efficiency of the system.