Abstract: A system and method for encoding and decoding optical codes with context-aware, multi-level security. Input data is classified into security levels with associated context sensitivity requirements. The system compresses data using public and private codebooks based on security classifications, then generates optical codes incorporating both compressed data and context requirements. When scanned, the system collects environmental contextual data (location, network environment, device security, user behavior), analyzes it against embedded context requirements, and dynamically determines which security levels are accessible in the current environment. Only authorized security levels are decoded using appropriate codebooks based on both user credentials and current contextual factors. This approach enables fine-grained, context-sensitive access control that adapts to changing environments while maintaining the compression benefits and capacity advantages of the multi-level security framework.

Abstract: A system is disclosed for encoding and decoding QR codes using proprietary compression codebooks to increase information density and provide data security. Public data is encoded using a standard codebook while private data uses a proprietary codebook. The encoded data is combined into a single QR code. Decoding extracts the public and private portions and decompresses them using the appropriate codebooks.

Abstract: A system and method for encoding and decoding optical codes with context-aware, multi-level security. Input data is classified into security levels with associated context sensitivity requirements. The system compresses data using public and private codebooks based on security classifications, then generates optical codes incorporating both compressed data and context requirements. When scanned, the system collects environmental contextual data (location, network environment, device security, user behavior), analyzes it against embedded context requirements, and dynamically determines which security levels are accessible in the current environment. Only authorized security levels are decoded using appropriate codebooks based on both user credentials and current contextual factors. This approach enables fine-grained, context-sensitive access control that adapts to changing environments while maintaining the compression benefits and capacity advantages of the multi-level security framework.

Abstract: A system and method are disclosed for encoding and decoding QR codes using multiple security levels through proprietary compression codebooks to increase information density and provide graduated data security. Input data is classified into public and multiple private security levels. Public data is encoded using a standard codebook while private data uses corresponding level-specific proprietary codebooks. The encoded data is combined into a single QR code with security level markers. Decoding extracts and processes each portion according to its security level using appropriate codebooks, enabling fine-grained access control while maintaining data compression benefits. The system supports complex security requirements while maximizing QR code capacity.

Abstract: A system and method are disclosed for encoding and decoding QR codes using proprietary compression codebooks to increase information density and provide data security. Public data is encoded using a standard codebook while private data uses a proprietary codebook. The encoded data is combined into a single QR code. Decoding extracts the public and private portions and decompresses them using the appropriate codebooks.