Application of Searchable Encryption Technology into Financial Transaction Behaviors
Addressing the security issues in the information management of financial transaction behaviors,this paper investigates the Separating Codec,Path Hash Message Digest,and Semantic Tree Indexing Algorithms based on the principles of Homomorphic Encryption Algorithms.Building upon this research,the Separating Codec Algorithm is employed as the encryption and decryption method for homomorphic encryption,integrated with the Path Hash Message Digest algorithm and Semantic Tree Indexing algorithm,to construct a secure storage method and ciphertext search system for financial transaction behavior information.Results indicate that by utilizing a Separating Codec Block Coding Algorithm to convert information into a transformation sequence and a bit sequence,it is feasible to establish a full-text search capability by using ciphertexts.Furthermore,an irreversible message digest generation method is proposed through information grouping,path hashing computation,result sequence modulation and hashing,in conjunction with the setting of output strings.Based on the sentence-level indexing algorithm,a ciphertext search system is constructed by adopting the consistency principle between ciphertext search and original sentence search.The constructed full-text and ciphertext retrieval system can achieve fast and secure retrieval of ciphertexts,ensuring the security of user transaction data,privacy,computation,and analysis.
financial transaction behaviorsearchable encryptionseparate encoding and decodingciphertext retrievalsemantic tree search
万方数据
维普
