# Secure Delivery Method for Preserving Data Integrity of a Video Frame with Sensitive Objects
## 7 Conclusions  
With the emergence of the Internet of Things environment where smartphones, CCTV, and sensors are connected, the amount of digital content generated from devices connected to the internet is rapidly increasing, and the demand for applications utilizing this content is growing.  
Digital materials have the characteristic of being easy to change, and it is important to ensure integrity and authenticity in order to utilize digital materials. Integrity and authenticity verification is used for the purpose of verifying that digital data have been provided by the producer without any changes to their contents. The proposed integrity scheme is used for the purpose of the verification of authenticity and integrity to confirm that the video frame was created and provided by a specific logger.  
We designed a system for preserving data integrity based on a digital fingerprint generated from XOR encoding scheme. The system operates on a logger within an edge device. This paper focuses on the privacy concerns associated with transmitting video data. By leveraging an object detection model using a Jetson device, we developed a novel automated encoding technique to obfuscate sensitive objects within video data. The proposed method employs a public key filter to ensure the security of sensitive information and can be applied to a wide range of applications. Through quantitative performance analysis of GPU-accelerated object detection, we observed results with minimal processing time variation, confirming the stability of the overall system performance.  
Considering the scalability of the system, the verifier will be configured to operate as a container within a Kubernetes environment in a cloud-based infrastructure as part of future work. To handle large-scale hash data, we consider a lightweight hash tree. This lightweight hash tree is designed to perform compression on consecutive duplicate hash values.  
A proof-of-concept prototype was developed to demonstrate the efficacy of the proposed encoding scheme. This prototype can be integrated between the sensor data acquisition module and the anomaly detection system within a nuclear power plant's architecture. Deployed on an edge server, the prototype enhances data integrity, a critical non-functional requirement for mission-critical systems. Furthermore, it ensures the authenticity of data sources through digital signatures. In future work, the prototype will be extended to ensure the determination of digital record authenticity by maintaining the continuity of evidence storage and the linkage between digital records.  
Figure 17: Examples of encoding with false positives (**a**) and false negatives (**b**).  
**Author Contributions:** Conceptualization, Y.-R.C. and Y.K.; methodology, Y.K.; software, Y.K.; formal analysis, Y.K.; writing--original draft preparation, Y.K.; writing--review and editing, Y.K.; visualization, Y.K.; supervision, Y.K.; project administration, Y.-R.C.; funding acquisition, Y.-R.C. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This work was supported by the National Research Foundation of Korea through the Government (Ministry of Science and Information and Communications Technology) in 2022 under Grant RS-2022-00144000.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.  
**Conflicts of Interest:** The authors declare no conflicts of interest.