Onstruction and Security Performance Analysis of an Anti-Attack Optical Character Recognition (OCR) System

With the widespread application of OCR technology in sensitive fields such as finance and healthcare, its security has become a pressing issue that needs to be addressed. In response to the multiple security challenges faced by current OCR systems, a comprehensive security enhancement scheme has been proposed. This scheme integrates multi-dimensional protection measures, including network layer micro-segmentation, application layer access control, and data layer full lifecycle encryption. Experimental data shows that the optimized system has significantly improved security, successfully defending against 99.97% of attack attempts, with a data integrity protection rate of $\mathbf{9 9. 9 9 9 9} \%$. The encryption communication scheme only adds a 0.5 ms delay, with a privacy protection accuracy of $\mathbf{9 9. 9 9 8 \%}$. This innovative scheme provides strong support for the deployment of OCR systems in high-security environments, promoting the further development of OCR technology.