Design and Evaluation of a Multi-Level Verification System for Secure Communication Protocols in Energy Billing
Main Article Content
Abstract
This study presents a multi-level verification system for secure communication protocols in energy billing infrastructures. The proposed framework integrates device attestation, network integrity verification, privacy-preserving aggregation, billing validation, and immutable auditing to address security vulnerabilities across Advanced Metering Infrastructure (AMI) communication chains. A Hybrid Secure-Efficient Protocol (HSEP) combining elliptic curve cryptography, homomorphic encryption, and zero-knowledge proofs is developed to provide secure authentication, privacy protection, and verifiable data integrity while maintaining low computational overhead. Experimental evaluation using a large-scale AMI testbed demonstrates that the proposed system significantly improves tampering detection capability, achieving an intrusion detection AUC of 0.94 while maintaining an average energy consumption of 1.55 J per transaction and acceptable communication latency for large-scale deployment. The architecture exhibits strong scalability, robustness, and rapid dispute-resolution performance under multiple attack scenarios. The proposed framework is particularly applicable to wireless smart metering networks and antenna-enabled AMI communication infrastructures, where reliable data transmission, secure protocol verification, and resilience against communication-layer attacks are essential for trustworthy energy billing and grid operation. This work provides an effective engineering solution for secure, privacy-preserving, and verifiable communication in modern intelligent energy systems.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
M. S. Abdalzaher, M. M. Fouda, and M. I. Ibrahem, “Data privacy preservation and security in smart metering systems,” Energies, vol. 15, no. 19, pp. 7419, 2022, doi: 10.3390/en15197419.
S. Kirmani, A. Mazid, I. A. Khan, and M. Abid, “A survey on IoT-enabled smart grids: technologies, architectures, applications, and challenges,” Sustainability, vol. 15, no. 1, pp. 717, 2022, doi: 10.3390/su15010717.
N. Tatipatri and S. L. Arun, “A comprehensive review on cyber-attacks in power systems: Impact analysis, detection, and cyber security,” IEEE Access, vol. 12, pp. 18147-18167, 2024, doi: 10.1109/ACCESS.2024.3361039, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10418207.
Kalkitech, “Challenges and Limitations of DLMS/COSEM,” 2023. https://kalkitech.com/challenges-and-limitations-of-dlms-cosem/.
ResearchGate, “Cybersecurity Compliance Tests for Smart Electricity Meters in Smart Distribution Systems,” 2024, [Online]. Available: https://www.researchgate.net/publication/386765768_Cybersecurity_Compliance_Tests_for_Smart_Electricity_Meters_in_Smart_Distribution_Systems.
H. Riggs, S. Tufail, I. Parvez, M. Tariq, M. A. Khan, A. Amir, et al., “Impact, vulnerabilities, and mitigation strategies for cyber-secure critical infrastructure,” Sensors, vol. 23, no. 8, pp. 4060, 2023, doi: 10.3390/s23084060.
P. P. Ray, “A survey on model context protocol: Architecture, state-of-the-art, challenges and future directions,” Authorea Preprints, 2025, doi: 10.36227/techrxiv.174495492.22752319/v1.
R. Smolenski, P. Szczesniak, W. Drozdz, and L. Kasperski, “Advanced metering infrastructure and energy storage for location and mitigation of power quality disturbances in the utility grid with high penetration of renewables,” Renewable and Sustainable Energy Reviews, vol. 157, Art. no. 111988, 2022, doi: 10.1016/j.rser.2021.111988.
O. Kebotogetse, R. Samikannu, and A. Yahya, “A concealed based approach for secure trans-mission in advanced metering infrastructure,” IEEE Access, vol. 10, pp. 84809-84817, 2022, doi: 10.1109/ACCESS.2022.3195240, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9845407.
I. Zografopoulos, J. Ospina, X. Liu, and C. Konstantinou, “Cyber-physical energy systems securi-ty: Threat modeling, risk assessment, resources, metrics, and case studies,” IEEe Access, vol. 9, pp. 29775-29818, 2021, doi: 10.1109/ACCESS.2021.3058403, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9351954.
X. Xia, Y. Xiao, W. Liang, and J. Cui, “Detection methods in smart meters for electricity thefts: A survey,” Proceedings of the IEEE, vol. 110, no. 2, pp. 273-319, 2022, doi: 10.1109/JPROC.2021.3139754, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9686052.
A. Singh, “Hardware-Assisted Security of Smart IoT Applications,” in Hardware Security: Challenges and Solutions. Cham, Switzerland: Springer Nature Switzerland, 2025, pp. 51-70, doi: 10.1007/978-3-031-81213-2_3.
M. Zhao, Y. Ding, S. Tang, H. Liang, and H. Wang, “A blockchain-based framework for privacy-preserving and verifiable billing in smart grid,” Peer-to-Peer Networking and Applications, vol. 16, no. 1, pp. 142-155, 2023, doi: 10.1007/s12083-022-01379-4.
J. Wang, L. Wu, S. Zeadally, M. K. Khan, and D. He, “Privacy-preserving data aggregation against malicious data mining attack for IoT-enabled smart grid,” ACM Transactions on Sensor Networks (TOSN), vol. 17, no. 3, pp. 1-25, 2021, doi: 10.1145/3440249.
G. Eibl, S. Taheri-Boshrooyeh, and A. Küpçü, “AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy,” 2021. arXiv preprint arXiv:2102.09429. https://arxiv.org/abs/2102.09429.
S. I. Nilima, M. K. Bhuyan, M. Kamruzzaman, J. Akter, R. Hasan, and F. T. Johora, “Optimizing resource management for IoT devices in constrained environments,” Journal of Computer and Communications, vol. 12, no. 8, pp. 81-98, 2024, doi: 10.4236/jcc.2024.128005, [Online]. Available: https://www.scirp.org/journal/paperinformation?paperid=135405.
R. E. Ogu, C. I. Ikerionwu, and I. I. Ayogu, “Leveraging artificial intelligence of things for anomaly detection in advanced metering infrastructures,” in Proc. 2020 IEEE 2nd International Conference on Cyberspace (CYBER NIGERIA), New York, NY, USA, 2021, pp. 16-20, doi: 10.1109/CYBERNIGERIA51635.2021.9428792, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9428792.
Q. E. A. Mahtab, F. Iqbal, W. U. Rehman, A. H. Malik, and T. Salam, “Efficient Revocation of Malicious Vehicles in VANETs,” Journal of Hunan University Natural Sciences, vol. 52, no. 4, 2025, [Online]. Available: https://jonuns.com/index.php/journal/article/view/1726.
A. Banks, M. Kisiel, and P. Korsholm, “Remote attestation: A literature review,” 2021. arXiv preprint arXiv:2105.02466. https://arxiv.org/abs/2105.02466.
V. O. Nyangaresi, “ECC based authentication scheme for smart homes,” in Proc. 2021 International Symposium ELMAR, IEEE, 2021, pp. 5-10, doi: 10.1109/ELMAR52657.2021.9550911, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9550911.
M. Lombardi, F. Pascale, and D. Santaniello, “Internet of things: A general overview between architectures, protocols and applications,” Information, vol. 12, no. 2, pp. 87, 2021, doi: 10.3390/info12020087.