Encoding of the Cronto Visual Cryptogram (CVC) barcode involves several steps to generate a visually encrypted representation of transaction data. This barcode type is primarily used in online banking applications for secure transaction authorization. Here's a detailed description of how the encoding process works: |

|
Overview of Cronto Visual Cryptogram (CVC) Barcode |
The Cronto Visual Cryptogram (CVC) is a type of 2D barcode designed specifically for secure transaction authorization in online banking. It is used to encode transaction details visually, which can then be scanned and decoded by a specialized application to verify and authorize transactions securely. |

|
Encoding Process |
1.Transaction Data Input: The encoding process begins with the input of transaction data. This typically includes details such as: |
Transaction amount Recipient account number Transaction reference or ID Timestamp or other relevant data |
For example, a transaction of €100 to account number XXXX-XXXX-XXXX-XXXX with reference number ABC123 at 14:30 on July 10, 2024, would include these details. |
2.Encryption: The transaction data is encrypted using a secure cryptographic algorithm. This ensures that the data cannot be easily tampered with or deciphered by unauthorized parties. Common encryption algorithms used may include AES (Advanced Encryption Standard) or RSA (Rivest-Shamir-Adleman). |
Example (simplified for illustration): |
Transaction amount: €100 is encrypted to a secure format. Recipient account number: XXXX-XXXX-XXXX-XXXX is encrypted. Reference number: ABC123 is encrypted. |

|
3.Visual Encoding: The encrypted transaction data is then transformed into a visually readable format suitable for the Cronto Visual Cryptogram (CVC) barcode. This transformation involves mapping the encrypted data onto a grid or matrix that represents the barcode structure. |
Example (simplified representation): |
Encrypted transaction amount: Converted into a series of pixels or modules within the barcode grid. Encrypted recipient account number: Similarly encoded into the barcode grid. Encrypted reference number: Transformed into another section of the barcode grid. |
4.Grid Mapping: The grid or matrix structure of the CVC barcode is crucial for encoding. Each section of the barcode corresponds to specific encrypted data segments, ensuring that all necessary transaction details are included. |
5.Visual Representation: The final step in encoding involves generating the visual representation of the CVC barcode. This involves: |
Arranging the encoded grid sections into the overall barcode layout. Adding visual elements such as contrast and color to enhance readability by the scanning application. Ensuring that the barcode adheres to the specific standards and requirements for CVC barcode readability. |

|
Example of Encoded Cronto Visual Cryptogram (CVC) Barcode |
Let's construct a simplified example of how the encoding might look for a hypothetical transaction: |
Transaction Details: Amount: €100 Recipient account number: XXXX-XXXX-XXXX-XXXX Reference number: ABC123 Timestamp: 14:30, July 10, 2024 |
Encryption: Transaction amount (€100) is encrypted. Recipient account number (XXXX-XXXX-XXXX-XXXX) is encrypted. Reference number (ABC123) is encrypted. |
Visual Encoding: Encrypted data is mapped onto a grid structure for the CVC barcode. Each section of the grid corresponds to a specific encrypted data segment. |
Grid Mapping: Grid sections are allocated for encrypted amount, account number, reference number, and possibly timestamp. |
Visual Representation: The barcode is generated, incorporating: |
Grid sections for encrypted data segments. Color and contrast adjustments for readability. Format adherence to CVC barcode standards. |

|
Conclusion |
The encoding of the Cronto Visual Cryptogram (CVC) barcode involves encrypting transaction data, mapping it onto a grid structure, and generating a visually encrypted representation suitable for secure transaction authorization in online banking. This process ensures that sensitive transaction details are protected while enabling efficient scanning and decoding by authorized applications. |

|