Innovative Image Privacy Preservation Applied to Data Perturbation in Cloud
A. N. Karthikeyan, Naveen Raj Yuvaraj, K. Gowsic, Mohammad Jahidul Islam, Manickam Ramasamy · 2023
The proposed method is to protect the privacy of images in real-time by using encryption, salt key, and blurring techniques. The method is particularly useful in cloud environments where images may be processed or stored remotely. The method uses the Advanced Encryption Standard (AES) algorithm, which is a widely-used encryption method that is known for its security. The AES algorithm is applied to the image data, which is then protected with a unique salt key, making it even more difficult to decipher. In addition to encryption, the method also uses the Gaussian Blur algorithm to blur the image data, making it more difficult to recognize any details that might compromise privacy. This blurring technique can be adjusted to achieve varying degrees of blur, depending on the level of privacy required. Furthermore, the method applies data perturbation, which involves adding random noise to the image data. This helps to further obscure any sensitive information and makes it even more difficult for unauthorized users to extract useful data. Overall, the proposed system is a robust method for protecting image privacy in real-time, and it has many potential applications in various fields, such as healthcare, finance, and law enforcement.