Abstract: To address the challenges of low efficiency in complex queries and high verification overhead in blockchain systems,this paper proposes a Hybrid Index Blockchain Architecture(HIBA) that integrates a dynamic Bloom filter,inverted index,and Merkle tree,along with a collaborative verification mechanism.The approach employs the dynamic Bloom filter to rapidly pre-screen candidate blocks,reducing query complexity from linear to logarithmic and effectively avoiding full-chain traversal.Combined with inverted indexing,it precisely locates data associated with semantic keywords within blocks,further enhancing query efficiency.Additionally,a Merkle tree-based interval proof mechanism is introduced,enabling light nodes to perform incremental verification of query results,significantly reducing computational and communication overhead.The proposed solution achieves notable breakthroughs in multi-keyword semantic query support,query efficiency,and verifiability,demonstrating strong practicality and scalability.

Key words: Blockchain, Bloom filter, Inverted index, Query optimization, Multiple keywords