FFPBO_KEYGEN: FLOWER FERTILIZATION PAPER-BASED OPTIMIZATION ENABLED KEY GENERATION FOR BLOCKCHAIN-ASSISTED TRANSPARENCY FRAMEWORK FOR PRIVACY PRESERVATION OF THIRD-PARTY SERVICES

Abstract

Preserving privacy in third-party services has become increasingly crucial as reliance on external platforms for data processing, storage, and analytics grows. While classical privacy-preserving models, such as access control, encryption, and anonymization techniques provide foundational protection, and they are not effective in dynamic and complex service environments. Typically, these traditional approaches lack adaptability, computationally intensive, and failed to prevent indirect privacy leaks through inference attacks or data correlation. To address the complexities, this work introduces a novel hybrid key generation approach based on Flower Fertilization Paper-Based Optimization enabled key generation model (FFPBO_KeyGen) within a Blockchain-assisted transparency framework for privacy preservation in third-party services. The generation of secure keys is handled by third-party authority using FFPBO, which combines Paper Publishing-Based Optimization (PPBO) and the Flower Fertilization Optimization (FFO) algorithm.