Efficient Encodings for Privacy-Preserving Data Storage and Transmission

Secure and privacy-preserving storage of digital data typically requires encrypting it, where the retrieval will man-date its decryption. The overhead of these encryption/decryption requirements introduce some latency, which might be limiting user experience on massive volumes for real-time applications. Reducing this computational load have been studied previously by using lightweight algorithms or selective/partial encryption schemes. In this work, we propose using a recently introduced privacy-preserving coding method [1] (COCOON’2023) to reduce this load and observe that the number of encryption/decryption operations can be reduced by more than 75%, which can be a decent relief especially for real-world applications. We particularly consider privacy requirements of some applications on multimedia data, most typically images and videos.