The Artificial Bee Colony Algorithm based on network intrusion detection is a set of application programming interface, based on which a sophisticated intrusion detection system is designed and developed on Linux platform, and based on such an algorithm combined with Differential Evolution (DE), data information exchange is thereby realized, with data processing model adopted and analysed independently under the bi-group structure rules. By analyzing bee colony with distributed technology and with the space information search tool, the study strategy function is thereby assured. The quality of population improvement can be proved through emulation experiments. A script of description language for a simple intrusion detection model is designed, with a view to optimize the detection sample database and perform the detection for network anomalous behaviors.