###### Abstract  
In video transmission, maintaining high visual quality under variable network conditions, including bandwidth and efficiency, is essential for optimal viewer experience. Channel errors or malicious attacks during transmission can cause degradation in video quality, affecting its secure transmission and putting its confidentiality and integrity at risk. This paper presents a novel approach to enhancing objective video quality by integrating an energy-efficient forward error correction (FEC) technique into video encoding and transmission processes. Moreover, it ensures that the video contents remain secure and unintelligible to unauthorized parties. This is achieved by combining H.264/AVC syntax-based encryption and decryption algorithms with error correction during the video coding process to provide end-to-end confidentiality. Unlike traditional error correction strategies, our approach dynamically adjusts redundancy levels based on real-time network conditions, optimizing bandwidth utilization without compromising quality. The proposed framework is evaluated across full reference objective video quality metrics, demonstrating significant improvements in the peak signal-to-noise ratio (PSNR) and PSNR\({}_{611}\) of the recovered videos. Experiments are carried out on multiple test video sequences with different video resolutions having various characteristics, i.e., colors, motions, and structures, and confirm that the FEC-based solution effectively detects and corrects packet loss and transmission errors without the need for retransmission, reducing the impact of channel noise and accidental disruptions on visual quality in challenging network environments. This study contributes to the development of resilient video transmission systems with reduced computational complexity of the codec and provides insights into the role of FEC in addressing quality degradation in modern multimedia applications where low latency is crucial. 2025255303 20252553  
communication channels. The quality of the video is a measure of the amount of deterioration in the video caused by any processing or transmission system when compared to the original video. It determines the extent to which the video has changed its originality after going through all of these processes. The appearance and motion of objects seem smooth in high-quality videos. Errors during transmission cause degradation in the smoothness, resulting in lower video quality. There are three fundamental security services that can be compromised during the communication of data over a network due to malicious attacks and transmission errors. _Confidentiality_ ensures the privacy and secrecy of data and guards against illegal access to data. _Integrity_ refers to the completeness of transmitted data and guarantees that the authorized users have been given all of the relevant information. _Availability_ ensures that the required data must be provided to the user at the requested time. When a video is transmitted over an error-prone network, its integrity may be affected, as the received video might be altered due the encountered errors, resulting in modified video contents. The proposed method provides an efficient technique for the detection and recovery of such errors to compensate the originality of the video. Furthermore, in advanced multimedia systems, ensuring data confidentiality and reliability has become increasingly crucial. As devices evolve to be faster and resource-constrained, it is vital to enhance their resistance to attacks without introducing additional hardware complexity or increasing the computational cost. Thus, our proposed framework ensures the confidentiality and integrity of the video against security threats and errors by merging encryption and decryption with error correction within the video coding process, reducing the complexity of joint schemes to enable efficient implementation. Video quality can be measured either subjectively or objectively.