The invention provides a big data image protection method based on a security area, and the method comprises the steps: S1, selecting a target security area through employing a target detection method, and extracting color image features; s2, a big data technology is adopted, a big data picture set is utilized to train a network model and a test network model, an application algorithm of a deep learning model in target detection is applied, and an object area is extracted to serve as a safety area of information protection; and S3, taking the extracted security area as a steganography area ofthe encrypted image, and carrying out secret information hiding by applying a steganography algorithm. According to the invention, the application algorithm of the deep learning model is applied in the target detection, that is, the Mask R-CNN instance segmentation method, and select the region with complex texture noise in the image, an area with complex texture noise in the image, namely a foreground part, is selected, secret information is accurately hidden in a foreground object, and therefore the purpose of more secret image secret information hiding protection is achieved.