Abstract. The needs of efficient and flexible information retrieval on multistructural data stored in database and network are significantly growing. Especially, its flexibility plays one of key roles to acquire relevant information desired by users in active retrieval process. However, most of the existing approaches are dedicated to each content and data structure respectively, e.g., relational database and natural text. In this work, we propose a generic information retrieval method directly applicable to various types of contents and data structures. The power of this approach comes from the use of the generic and invariant feature information obtained from byte patterns in the files through some mathematical transformation. The experimental evaluation of the proposed approach for both artificial and real data indicates its high feasibility.