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 :
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- Halevi, S., & Shoup, V. (2020). Design and implementation of HElib: A homomorphic encryption library. ACM Transactions on Mathematical Software, 46(2), 1–52.
- 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.
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- 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.
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- Microsoft Research. (2019). Microsoft SEAL (Simple Encrypted Arithmetic Library), Version 3.4. Microsoft Research.
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- 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.
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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.