Journal article : Review
Advancing IoT-driven transportation security: a comprehensive review of privacy-preserving identity-based encryption with quantum enhancements
- Abstract:
- Intelligent transportation initiatives increasingly employ extensive networks of Internet-of-Things (IoT) sensors in combination with fog-computing platforms that locate computational resources near data sources in both maritime and urban environments. Although such connectivity enhances traffic monitoring and control, it simultaneously broadens the attack surface, placing sensitive operational data at heightened risk. Identity-Based Encryption (IBE) simplifies cryptographic key management in these contexts; however, it remains constrained by key-escrow exposure and the practical complexity of securely distributing private keys. This study analyzes these limitations and evaluates the extent to which two quantum techniques, Blind Quantum Computation (BQC) and Quantum Annealing (QA), can provide effective solutions. In particular, BQC enables encrypted computation without disclosing the user’s identity to the processing server, thereby substantially mitigating the key-escrow vulnerability inherent in conventional IBE deployments. Meanwhile, QA is recommended for its ability to dynamically optimize network performance and security configurations. By synthesizing recent developments, discussing challenges, and recommending quantum-enhanced solutions, this study marks a significant step towards securing and optimizing smart transportation systems through advanced cryptographic techniques and quantum computing.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 4.7MB, Terms of use)
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- Publisher copy:
- 10.1109/ojits.2026.3651438
Authors
+ National Research Foundation of Korea
More from this funder
- Funder identifier:
- https://ror.org/013aysd81
- Grant:
- RS-2024-00340882
- Publisher:
- Institute of Electrical and Electronics Engineers
- Journal:
- IEEE Open Journal of Intelligent Transportation Systems More from this journal
- Volume:
- 7
- Pages:
- 268-284
- Publication date:
- 2026-01-06
- Acceptance date:
- 2025-12-28
- DOI:
- EISSN:
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2687-7813
- Language:
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English
- Keywords:
- Subtype:
-
Review
- Pubs id:
-
2358660
- Local pid:
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pubs:2358660
- Source identifiers:
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W7118780191
- Deposit date:
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2026-04-29
- ARK identifier:
Terms of use
- Copyright holder:
- Waseem et al.
- Copyright date:
- 2026
- Rights statement:
- ©2026 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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