Feature interaction is a major obstacle for the rapid development of new services in telecommunication networks. Based on the similarities between Artificial Immune System and Feature Interaction Management System, an Artificial Immune-based Feature Interaction Management System (AIFIMS) is proposed for the online FI detection and resolution in next generation networks (NGN). AIFIMS consists of three modules: Artificial Immune-based Detection (AID) module, Artificial Immune-based Resolution (AIR) module and Management module. By introducing and exploiting some AIS mechanisms such as multi-protection mechanism, Antigen Recognition, clonal selection, immune learning and so on, AID module can effectively detect FIs in a universal way, and new kinds of FIs can be gradually recognized and memorized also. AIR module resolves the detected FIs fexibly through simulating Antigen Cleanup mechanism. With the experimental verification, AIFIMS is effective to provide a unified framework for detecting and resolving FIs among ever-changing NGN services.