Synergistic Commutative Algorithm for Securing Vector Spatial Data via GD-PBIBD Fingerprint Encoding and Data Encryption

Abstract

Abstract Vector spatial data, as the core element supporting business connectivity and facilitating intelligent decision-making, encounters escalating copyright and security challenges throughout its life cycle. There is an urgent demand for a comprehensive life cycle protection solution to ensure data security and compliance with copyright regulations. This article proposes an integrated protection scheme tailored for addressing copyright and security concerns in the full life cycle of vector spatial data. Initially, DNA encryption is applied to the vector spatial data, and the key is encrypted using the RSA public key. Simultaneously, the GD-PBIBD fingerprint encoding generates a fingerprint sequence. Logistic mapping is employed to scramble the sequence, and the quantization mechanism embeds the scrambled fingerprint sequence into coordinates. Subsequently, the RSA private key is utilized to decrypt the key and extract fingerprint information. Finally, Logistic mapping restores the fingerprint sequence, and Hamming distance calculation is employed to identify colluding users and track potential leakers. This research not only bridges the gap in full life cycle copyright and security protection for vector spatial data but also presents a holistic solution for the secure data circulation, demonstrating significant practical value.