Performance Analysis and Integration of Homomorphic Encryption in Critical Computer Transport Network/its Infrastructures


Authors : Ayila Mopaya Ben; Lovwa Mulelenu Olivier; Nkwahata Masangata Leprince; Bobozo Bikayi Louis-Michel; Luntala Bakika Benedite; Ekof’amboyo Basambi Toussaint; Buanga Mapetu Jean-Pepé

Volume/Issue : Volume 11 - 2026, Issue 2 - February


Google Scholar : https://tinyurl.com/5f9z4nwp

Scribd : https://tinyurl.com/53apxf9p

DOI : https://doi.org/10.38124/ijisrt/26feb1166

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Homomorphic encryption (HE) represents a significant advancement in the field of cybersecurity due to its ability to perform operations on encrypted data without requiring prior decryption. This property offers particularly promising prospects for the protection of critical infrastructures, where the confidentiality of information and continuity of services are of paramount importance. Computer transport networks, which ensure the secure transmission of data across sensitive sectors such as railways, aviation, energy, or road transport, are increasingly exposed to sophisticated cyber threats. In this context, the integration of homomorphic encryption emerges as a relevant approach capable of enhancing data protection while preserving operational usability, particularly in environments that require near real-time processing. Furthermore, critical road infrastructures are increasingly based on interconnected computing architectures designed to manage traffic, intelligent signaling, sensor data collection, and assistance for automated driving systems. While this digital transformation improves efficiency and safety, it simultaneously increases the attack surface, including risks of malicious intrusions, data tampering, and breaches of confidentiality. In this framework, homomorphic encryption (HE) stands out as a promising solution, enabling analytical processing of data while maintaining it in an encrypted state. This work focuses on evaluating the impact of HE on the security, performance, and resilience of road computer networks considered as critical infrastructures. Following a thorough review of the scientific literature on various homomorphic encryption approaches and recent implementations, an evaluation methodology was developed considering multiple technical environments. This methodology relies on the use of specialized libraries such as Microsoft SEAL, PALISADE, Concrete, and Lattigo, integrated within Intelligent Transportation Systems (ITS) architectures, both in simulated and near-real conditions. The results highlight a significant improvement in data confidentiality and integrity through HE usage, while also pointing out operational constraints related to increased latency and computational load. Consequently, recommendations are proposed to optimize the integration of this technology in environments where response time requirements are critical, notably through the use of hardware accelerators and hybrid approaches combining homomorphic encryption with other cryptographic mechanisms.

References :

  1. Mugisha, S., & Mutsvangwa, T. (2022). A survey of homomorphic encryption applications in critical infrastructures. IEEE Access, 10, 74159–74175.
  2. Yoon, S., & Park, J. H. (2018). Security issues on smart road and intelligent transportation system. Journal of Information Processing Systems, 14(2), 337–350.
  3. Papadimitratos, P., de La Fortelle, A., Evenssen, K., Brignolo, R., & Cosenza, S. (2009). Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation. IEEE Communications Magazine, 47(11), 84–95.
  4. Halevi, S., & Shoup, V. (2020). Design and implementation of HElib: A homomorphic encryption library. ACM Transactions on Mathematical Software, 46(2), 1–52.
  5. Molina-Masegosa, R., & Gozalvez, J. (2017). LTE-V for sidelink 5G V2X vehicular communications: A new 5G technology for ITS. IEEE Vehicular Technology Magazine, 12(4), 30–39.
  6. Abbas, T., Bernhardsson, B., & Böhm, A. (2019). Exploiting 5G in intelligent transportation systems: Models, performance, and applications. IEEE Transactions on Intelligent Transportation Systems, 20(12), 4799–4812.
  7. Choudhary, A., & Shukla, S. (2020). Cybersecurity challenges in intelligent transportation systems. Journal of Transportation Security, 13(1), 1–18.
  8. Acar, A., Aksu, H., Uluagac, A. S., & Conti, M. (2018). A survey on homomorphic encryption schemes: Theory and implementation. ACM Computing Surveys, 51(4), 79.
  9. Cheng, N., Lyu, F., Chen, J., Xu, W., Zhou, H., Zhang, S., & Shen, X. (2018). Big data driven vehicular networks. IEEE Network, 32(6), 160–167.
  10. Stallings, W. (2017). Cryptography and network security: Principles and practice (7th ed.). Pearson.
  11. Al Badawi, A., Polyakov, Y., Rohloff, K., & Ryan, G. W. (2022). Implementation and performance evaluation of RNS variants of the BFV homomorphic encryption scheme. ACM Transactions on Privacy and Security, 25(3), 1–30.
  12. Li, X., Zhao, Y., & Xu, J. (2020). Research on ITS-5G integration for intelligent road transportation. Journal of Physics: Conference Series, 1629(1), 012129.
  13. Zhang, Y., Wang, K., & Lin, X. (2021). Cyber-physical security of connected road transportation systems. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4281–4295.
  14. European Union Agency for Cybersecurity (ENISA). (2023). ENISA annual report 2023: Strengthening cybersecurity across Europe. Publications Office of the European Union.
  15. Chillotti, I., Gama, N., Georgieva, M., & Izabachène, M. (2016). Faster fully homomorphic encryption: Bootstrapping in less than 0.1 seconds. In Advances in Cryptology – ASIACRYPT 2016. Lecture Notes in Computer Science, 10031, 3–33. Springer.
  16. Li, R., & Miklau, G. (2022). Practical applications of homomorphic encryption in cloud computing. Journal of Cloud Computing, 11(1), 12–28.
  17. Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., … Poor, H. V. (2019). 6G wireless networks: Vision, requirements, architecture, and key technologies. IEEE Vehicular Technology Magazine, 14(3), 28–41.
  18. Microsoft Research. (2019). Microsoft SEAL (Simple Encrypted Arithmetic Library), Version 3.4. Microsoft Research.
  19. Festag, A. (2014). Cooperative intelligent transport systems: Standards and enabling technologies. IEEE Communications Magazine, 52(12), 166–172.
  20. O’Neill, A., & Peikert, C. (2019). Secure multiparty computation using fully homomorphic encryption. Foundations and Trends in Privacy and Security, 3(3–4), 209–340.
  21. European Union Agency for Cybersecurity (ENISA). (2022). Guidelines on cybersecurity in the Internet of Things (IoT). Publications Office of the European Union.
  22. Wang, Y., Li, X., & Zhang, Q. (2018). QoS-aware routing and resource allocation in vehicular networks. IEEE Transactions on Intelligent Transportation Systems, 19(9), 2976–2987.
  23. Li, J., Li, H., & Li, F. (2019). Hybrid encryption scheme using RSA and AES for secure IoT communications. International Journal of Network Security, 21(3), 456–467.
  24. Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646.

Homomorphic encryption (HE) represents a significant advancement in the field of cybersecurity due to its ability to perform operations on encrypted data without requiring prior decryption. This property offers particularly promising prospects for the protection of critical infrastructures, where the confidentiality of information and continuity of services are of paramount importance. Computer transport networks, which ensure the secure transmission of data across sensitive sectors such as railways, aviation, energy, or road transport, are increasingly exposed to sophisticated cyber threats. In this context, the integration of homomorphic encryption emerges as a relevant approach capable of enhancing data protection while preserving operational usability, particularly in environments that require near real-time processing. Furthermore, critical road infrastructures are increasingly based on interconnected computing architectures designed to manage traffic, intelligent signaling, sensor data collection, and assistance for automated driving systems. While this digital transformation improves efficiency and safety, it simultaneously increases the attack surface, including risks of malicious intrusions, data tampering, and breaches of confidentiality. In this framework, homomorphic encryption (HE) stands out as a promising solution, enabling analytical processing of data while maintaining it in an encrypted state. This work focuses on evaluating the impact of HE on the security, performance, and resilience of road computer networks considered as critical infrastructures. Following a thorough review of the scientific literature on various homomorphic encryption approaches and recent implementations, an evaluation methodology was developed considering multiple technical environments. This methodology relies on the use of specialized libraries such as Microsoft SEAL, PALISADE, Concrete, and Lattigo, integrated within Intelligent Transportation Systems (ITS) architectures, both in simulated and near-real conditions. The results highlight a significant improvement in data confidentiality and integrity through HE usage, while also pointing out operational constraints related to increased latency and computational load. Consequently, recommendations are proposed to optimize the integration of this technology in environments where response time requirements are critical, notably through the use of hardware accelerators and hybrid approaches combining homomorphic encryption with other cryptographic mechanisms.

Paper Submission Last Date
31 - March - 2026

SUBMIT YOUR PAPER CALL FOR PAPERS
Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe