Visible to the public Asymmetric Encryption of Surveillance Videos for Adaptive Threshold based Moving Object Detection

TitleAsymmetric Encryption of Surveillance Videos for Adaptive Threshold based Moving Object Detection
Publication TypeConference Paper
Year of Publication2021
AuthorsKumar, Chandan, Singh, Shailendra
Conference Name2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
Keywordsadaptive thresholding, Conferences, Encryption, Human Behavior, key generation, Metrics, object detection, pubcrawl, Real-time Systems, resilience, Resiliency, RSA, Streaming media, Video segmentation, video surveillance
AbstractThe use of video surveillance (VS) has grown significantly using the internet as a platform. Thus security issues on such videos must be addressed. Video frames can have multiple objects and various features over video length. Moving object detection (MOD) and real-time tracking requires security strategies designed to protect videos. This paper is proposed to design an asymmetric encryption method (RSA). The paper has contributed in two stages. In the first phase the fast video segmentation method based on a global variable threshold is designed to facilitate MOD. Later in second pass the RSA-based encryption is used to maintain the efficiency of the object detection. The secure key generation method is demonstrated. The performances of two global thresholds are demonstrated and compared under the encrypted video data. It is found that that method is very effective in finding objects under the context of video surveillance in real time.
DOI10.1109/UPCON52273.2021.9667591
Citation Keykumar_asymmetric_2021