The invention discloses a self-adaptive trojan communication behavior detection method on the basis of dynamic feedback, which comprises the steps of processing trojan detection alarm information, constructing a sample set for dynamic feedback learning by utilizing the alarm information, and determining updating opportunity of detection by detecting concept drift of a data stream, wherein the step of processing the trojan detection alarm information comprises the sub-steps of carrying out merging and association processing on the alarm information which is subjected to standard description, then establishing an intrusion track event and storing the intrusion track event into an intrusion event table. According to the invention, aiming at the problem of self-adaption of information stealing trojan detection, the information stealing trojan detection alarm information is analyzed, methods of similarity analysis, clustering analysis and the like are combined, related information of a target IP (Internet Protocol) is acquired additionally by driving detection, the sample set for dynamic feedback learning is constructed by the alarm information, an increment support vector machine algorithm is used as an algorithm for dynamic feedback learning, and the updating opportunity of a detection system is determined by detecting the concept drift of the data stream.