IFT co-authored paper entitled “Privacy-Preserving Surveillance as an Edge Service based on Lightweight Video Protection Schemes using Face De-Identification and Window Masking” has been published in Electronics as part of the Special Issue 10th Anniversary of Electronics: Recent Advances in Computer Science & Engineering and is available online. With a myriad of edge cameras deployed in urban and suburban areas, many people are seriously concerned about the constant invasion of their privacy. There is a mounting pressure from the public to make the cameras privacy-conscious. This paper proposes a Privacy-preserving Surveillance as an Edge service (PriSE) method with a hybrid architecture comprising a lightweight foreground object scanner and a video protection scheme that operates on edge cameras and fog/cloud-based models to detect privacy attributes like windows, faces, and perpetrators. The Reversible Chaotic Masking (ReCAM) scheme is designed to ensure an end-to-end privacy while the simplified foreground-object detector helps reduce resource consumption by discarding frames containing only background-objects.