Accelerating Virtual Conferencing Encryption Performance Using PKI and Enhancement AES

Baydaa Jaffer  Al-Khafaji; Haifaa Jassim  Muhasin; Iptehaj  Alhakam

doi:10.30526/39.4.4493

Authors

Baydaa Jaffer Al-Khafaji Department of Computer, College of Education for Pure Science (Ibn Al-Haitham) ,University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-5982-8983
Haifaa Jassim Muhasin Department of Computer, College of Education for Pure Science (Ibn Al-Haitham) ,University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0001-9508-0098
Iptehaj Alhakam Department of Computer, College of Education for Pure Science (Ibn Al-Haitham) ,University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0001-9508-0098

DOI:

https://doi.org/10.30526/39.4.4493

Keywords:

RSA, AES algorithm, 4D logistic map, HMAC, PKI

Abstract

Video communications in our digital world, video communications have exploded and are now a general reality for all industries from virtual conferencing, telemedicine, online education to secure government communications. The video data has to be transmitted in a secure and efficient way since the information conveyed by it, in most of the cases should not lose its integrity. The advocated system raises the level of security of video conferencing systems to a larger extent and offers a solid base for ensuring the authenticity and integrity of shared multimedia content. The system provides temporal motion-enhancement using Galois field, the time complexity of an algorithm is linearly proportional with the size of video. Using parallelism, the time taken can be much decreased. The time complexity of RSA (Key Encryption) is not much indifferent because key size is small as compared to video the proposed AES algorithm with 4D logistic map integration provides the efficient solution for encrypting video call conversations. Through complicating and ran doming the encryption process, this method is more secure against current cyber threats. The PKI based key management, HMAC for data integrity and parallel processing to improve the performance similar processes strengthens this encryption scheme. We then used and evaluated the proposed method, and we found it to be best in terms of maximum security with optimal complexity

Author Biographies

Baydaa Jaffer Al-Khafaji , Department of Computer, College of Education for Pure Science (Ibn Al-Haitham) ,University of Baghdad, Baghdad, Iraq

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Haifaa Jassim Muhasin , Department of Computer, College of Education for Pure Science (Ibn Al-Haitham) ,University of Baghdad, Baghdad, Iraq

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Iptehaj Alhakam, Department of Computer, College of Education for Pure Science (Ibn Al-Haitham) ,University of Baghdad, Baghdad, Iraq

.

References

1. Al-Hazaimeh O M, Al-Smadi, MA, Abuain, T, Abu-Ein, AA. End-to-end cybersecurity encryption video algorithm. WSEAS Transact Computer Res. 2025;13. https://doi.org/10.37394/232018.2025.13.12

2. Jadoaa S H, Ali, RH, Abdulsalam WH, and Alsaedi EM. The Impact of Feature Importance on Spoofing Attack Detection in IoT Environment. Mesopot J Cyber Secur. 2025; 5(1), 240-255. https://doi.org/10.58496/MJCS/2025/016.

3. Zhang Q, Chen, M, Li, L. Secure and efficient key management in video conferencing systems. Fut Gener Computer Syst, 2022; 129, 1–12.

https://doi.org/10.1016/j.future.2021.10.012

4. Crihan G, Dumitriu L, Crăciun MV. Preliminary experiments of a real-world authentication mechanism based on facial recognition and fully homomorphic encryption. Appl Sci. 2024;14(2):718. https://doi.org/10.3390/app14020718.

5. Nurmi N, Pakarinen S. Virtual meeting fatigue: Exploring the impact of virtual meetings on cognitive performance and active versus passive fatigue. SOHP 2023; 28(6):343. https://doi.org/10.1037/ocp0000362

6. Sidorov M, Birman R, Hadar O, and Dvir A. Estimating QoE from encrypted video conferencing traffic. Sensors. 2025; 25(4), 1009. https://doi.org/10.3390/s25041009

7. Zhao J. DES-Co-RSA: a hybrid encryption algorithm based on DES and RSA. (ICPECA). 2023; 846-850.

8. Alammary A, Alshaikh M, Pratama AR. Awareness of security and privacy settings in video conferencing apps among faculty. Peer J Computer Sci. 2022; 8, e1021. https://doi.org/10.7717/peerj-cs.1021S.

9. Park Y, Yoo H, Ryu J, Choi YR, Kang JS, Yeom Y. End-to-end post-quantum cryptography encryption protocol for video conferencing systems. Appl Sys Innov. 2023; 6(4), 66. https://doi.org/10.3390/asi6040066

10. Frederick James LM. Review of High-Quality Random Number Generators. Comput Software Big Sci. 2020; https://doi.org/10.1007/s41781-019-0034-3.

11. Bruehs WE, Stout D. Evaluating digital video transcoding for forensic derivative results. J Forens Sci. 2023; 68(3):1036-48. https://doi.org/10.1111/1556-4029.15245

12. 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; 9(3):1-0. https://doi.org/10.32628/CSEIT2390373

13. 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. Scient Rep. 2023 ; 13(1):18432. https://doi.org/10.1038/s41598-023-45619-w

14. Isobe T, Ito K. Security analysis of end-to-end encryption for Zoom meetings. IEEE Access, 2021; 9,102056–102070. https://doi.org/10.1109/ACCESS.2021.3091722

15. Yang Z. Decentralized end-to-end encryption for secure communication using blockchain. arXiv preprint. 2022. https://arxiv.org/abs/2208.07604

16. Rescorla E. RFC 8446: The Transport Layer Security (TLS) Protocol Version 1.3. 2018;

https://doi.org/10.17487/RFC8446

17. Banoth R, Regar R. Asymmetric key cryptography. In Classical and Modern Cryptography for Beginners. Cham: Springer Nature Switzerland. 2023; 109-165.

18. Sathya Krishnamoorthi PJ, Design of pseudo-random number generator from turbulence padded chaotic map. Nonlinear Dynam. 2021; 104(2): 1627-43. https://doi.org/10.1007/s11071-021-06346-x.

19. Luengo EA. A brief and understandable guide to pseudo-random number generators and specific models for security. Stat Surv. 2022; 16:137-81.

20. Aberna P, Agilandeeswari L. Digital image and video watermarking: methodologies, attacks, applications, and future directions. Multimedia Tools Applic. 2024; 83(2), 5531-91. https://doi.org/10.1007/s11042-023-15806-y

21. Kumar A, Jain V, Yadav A. A new approach for security in cloud data storage for IOT applications using hybrid cryptography technique. In 2020 international conference on power electronics and IoT applications in renewable energy and its control (PARC). IEEE. 2020; 514-517. https://arxiv.org/abs/2104.08494

22. Sidorov M, Birman R, Hadar O, Dvir A. Estimating QoE from encrypted video conferencing traffic. Sensors, 2025; 25(4), 1009. https://doi.org/10.3390/s25041009

23. Soojin K, Uk Hur, Giyoon K. Forensic analysis and data decryption of Tencent Meeting in Windows environment. Forens Sci Int Digital Investig. 2024; 51, 301818.