Scalable Video Encryption for Real-Time Applications Using Parallel Computing Models
محتوى المقالة الرئيسي
الملخص
Abstract It is necessary in various real-time applications such as teleconferencing, live streaming, and remote monitoring. However, applying standard encryption methods on high resolution video streams can cause computational delay. We propose a scalable video encryption framework, based on AES-256 and multi-threaded parallel processing to boost the performance of cryptography without compromising security in the paper. Video frames are sliced into independent chunks and assigned to available CPU cores so that encryption can occur in parallel. In order to recover frame ordering correctly, we use a synchronization mechanism. Extensive experimental evaluation on Full HD video streams shows that the proposed framework improves throughput and results in a four-times reduction in encryption time when compared to sequential execution. Using eight threads with small CPU utilization efficiency, the system achieved a speed up as high as 4.62×. These results show that parallel software encryption on CPU is a realistic method for secure real-time video applications.
تفاصيل المقالة
القسم
هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
كيفية الاقتباس
المراجع
[1 ] Park, Y., Yoo, H., Ryu, J., Choi, Y. R., Kang, J. S., & Yeom, Y. (2023). End-to-end post-quantum cryptography encryption protocol for video conferencing systems. Applied System Innovation, 6(4), 66. https://doi.org/10.3390/asi6040066
[2 ] Fatima S, Rehman T, Fatima M, Khan S, Ali MA. Comparative analysis of aes and rsa algorithms for data security in cloud computing. Engineering Proceedings. 2022 Jul 29;20(1):14. https://doi.org/10.3390/engproc2022020014
[3 ] Kumar A, Jain V, Yadav A. A new approach for security in cloud data storage for IOT applications using hybrid cryptography technique. In2020 international conference on power electronics & IoT applications in renewable energy and its control (PARC) 2020 Feb 28 (pp. 514-517). IEEE. https://arxiv.org/abs/2104.08494
[4 ] Bruehs WE, Stout D. Evaluating digital video transcoding for forensic derivative results. Journal of Forensic Sciences. 2023 May;68(3):1036-48. https://doi.org/10.1111/1556-4029.15245
[5 ] Choudhary M, Ramani AV, Bhardwaj V. The Significance of Metadata and Video Compression for Investigating Video Files on Social Media Forensic. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 2023 May;9(3):1-0. https://doi.org/10.32628/CSEIT2390373
[6 ] Yamni M, Daoui A, Karmouni H, Sayyouri M, Qjidaa H, Motahhir S, Jamil O, El-Shafai W, Algarni AD, Soliman NF, Aly MH. An efficient watermarking algorithm for digital audio data in security applications. Scientific Reports. 2023 Oct 27;13(1):18432. https://doi.org/10.1038/s41598-023-45619-w
[7 ] Isobe, T., & Ito, K. (2021). Security analysis of end-to-end encryption for Zoom meetings. IEEE Access, 9,102056–102070. https://doi.org/10.1109/ACCESS.2021.3091722
[8 ] Al-Khafaji BJ, Rahma AM. Encryption and security for video conferencing: A review. InAIP Conference Proceedings 2025 Aug 20 (Vol. 3321, No. 1, p. 020038). AIP Publishing LLC.https://doi.org/10.1063/5.0289624
[9 ] Alammary, A., Alshaikh, M., & Pratama, A. R. (2022). Awareness of security and privacy settings in video conferencing apps among faculty. PeerJ Computer Science, 8, e1021. https://doi.org/10.7717/peerj-cs.1021S
[10 ] Yang, Z. (2022). Decentralized end-to-end encryption for secure communication using blockchain. arXiv preprint. https://arxiv.org/abs/2208.07604
[11 ] Jadoaa SH, Ali RH, Abdulsalam WH, Alsaedi EM. The Impact of Feature Importance on Spoofing Attack Detection in IoT Environment. Mesopotamian Journal of CyberSecurity. 2025 Apr 1;5(1):240-55.
[12 ] Al-Hazaimeh, O. M., Al-Smadi, M. A., Abuain, T., & Abu-Ein, A. A. (2025). End-to-end cybersecurity encryption video algorithm. WSEAS Transactions on Computer Research, 13. https://doi.org/10.37394/232018.2025.13.12
[13 ] Alfalou, A., et al. (2018). Multi-threaded RSA encryption for high-definition video. Journal of Multimedia Security, 12(3), 45–57. https://doi.org/10.58496/MJCS/2025/016.
[14 ] Zhang, Q., Chen, M., & Li, L. (2022). Secure and efficient key management in video conferencing systems. Future Generation Computer Systems, 129, 1–12.
https://doi.org/10.1016/j.future.2021.10.012
[15 ] Crihan G, Dumitriu L, Crăciun MV. Preliminary experiments of a real-world authentication mechanism based on facial recognition and fully homomorphic encryption. Applied Sciences. 2024 Jan 15;14(2):718. https://doi.org/10.3390/app14020718.
[16 ] Nurmi N, Pakarinen S. Virtual meeting fatigue: Exploring the impact of virtual meetings on cognitive performance and active versus passive fatigue. Journal of occupational health psychology. 2023 Dec; 28(6):343. https://doi.org/10.1037/ocp0000362
[17 ] Al-Hazaimeh, O. M., Al-Smadi, M. A., Abuain, T., & Abu-Ein, A. A. (2025). End-to-end cybersecurity encryption video algorithm. WSEAS Transactions on Computer Research, 13. https://doi.org/10.37394/232018.2025.13.12
[18 ] MA Salih, SA Alasadi, BJ Al-Khafaji Digital image enhancement by noise removal post-decryption applied by a combination of wave transformers(2025),AIP Conference Proceedings 3321 (1), 020019
[19 ] J. Zhao, "DES-Co-RSA: A Hybrid Encryption Algorithm Based on DES and RSA.," in IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)., Shenyang, China, 2023..
[20 ] Y. W. Z. &. C. Q. Liu, "M Tunnel: A Novel Approach to Secure Virtual Conferencing," Cybersecurity Advances, pp. 123-140, 2024.
[21 ] S. S. R. &. O. H. Atawneh, "A Security Framework for Virtual Meetings," Journal of Digital Security, pp. 59-82., 2024.