Can Sidechains and AI Save the Edge? A Perspective on Scalability and Security in IoT-Fog Blockchains
Perspective  ·  Published: 23 March 2026
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Journal of Systems Scalability
Volume 1, Issue 1, 2026: 23-28
Perspective Open Access

Can Sidechains and AI Save the Edge? A Perspective on Scalability and Security in IoT-Fog Blockchains

1 Department of Engineering, University of Messina, 98166 Messina, Italy
* Corresponding Author: Marco Scarpa, [email protected]
Volume 1, Issue 1

Article Information

Pages 23-28

Abstract

IoT-Fog networks create big challenges in scalability, latency, and security at the edge. This paper gives a simple perspective on how sidechains and artificial intelligence (AI) can help. Sidechains process local transactions near devices, increase throughput, and reduce delay. AI methods, such as Random Forest, detect abnormal traffic, predict workload peaks, and adjust network settings (for example, block time and number of validators). We present clear, small formulas for throughput, latency, checkpoint cost, and security, and we show how these formulas guide design choices (block time $T_b$, confirmations $k$, checkpoint period $\tau$). The goal is an easy model that links design choices to performance and security, helping readers build faster, safer, and more adaptive IoT-Fog Blockchain networks.

Keywords

blockchain sidechain IoT-Fog networks scalability and security artificial intelligence

Data Availability Statement

Not applicable.

Funding

This work was partially funded by European Union - Next generation EU - PNRR - Missione 4, Componente 2, Investimento 1.1 - Bando PRIN 2022 PNRR - Decreto Direttoriale n. 1409 del 14-09-2022 - Progetto PaB-PIF, CUP J53D2301493, Project Id. P20227W8ZC.

Conflicts of Interest

The authors declare no conflicts of interest.

AI Use Statement

The authors declare that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate

Not applicable.

References

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Cite This Article

APA Style
Javanmardi, S., & Scarpa, M. (2026). Can Sidechains and AI Save the Edge? A Perspective on Scalability and Security in IoT-Fog Blockchains. Journal of Systems Scalability, 1(1), 23–28. https://doi.org/10.62762/JSS.2025.237121
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TY  - JOUR
AU  - Javanmardi, Saeed
AU  - Scarpa, Marco
PY  - 2026
DA  - 2026/03/23
TI  - Can Sidechains and AI Save the Edge? A Perspective on Scalability and Security in IoT-Fog Blockchains
JO  - Journal of Systems Scalability
T2  - Journal of Systems Scalability
JF  - Journal of Systems Scalability
VL  - 1
IS  - 1
SP  - 23
EP  - 28
DO  - 10.62762/JSS.2025.237121
UR  - https://www.icck.org/article/abs/JSS.2025.237121
KW  - blockchain
KW  - sidechain
KW  - IoT-Fog networks
KW  - scalability and security
KW  - artificial intelligence
AB  - IoT-Fog networks create big challenges in scalability, latency, and security at the edge. This paper gives a simple perspective on how sidechains and artificial intelligence (AI) can help. Sidechains process local transactions near devices, increase throughput, and reduce delay. AI methods, such as Random Forest, detect abnormal traffic, predict workload peaks, and adjust network settings (for example, block time and number of validators). We present clear, small formulas for throughput, latency, checkpoint cost, and security, and we show how these formulas guide design choices (block time $T_b$, confirmations $k$, checkpoint period $\tau$). The goal is an easy model that links design choices to performance and security, helping readers build faster, safer, and more adaptive IoT-Fog Blockchain networks.
SN  - 3142-7855
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Javanmardi2026Can,
  author = {Saeed Javanmardi and Marco Scarpa},
  title = {Can Sidechains and AI Save the Edge? A Perspective on Scalability and Security in IoT-Fog Blockchains},
  journal = {Journal of Systems Scalability},
  year = {2026},
  volume = {1},
  number = {1},
  pages = {23-28},
  doi = {10.62762/JSS.2025.237121},
  url = {https://www.icck.org/article/abs/JSS.2025.237121},
  abstract = {IoT-Fog networks create big challenges in scalability, latency, and security at the edge. This paper gives a simple perspective on how sidechains and artificial intelligence (AI) can help. Sidechains process local transactions near devices, increase throughput, and reduce delay. AI methods, such as Random Forest, detect abnormal traffic, predict workload peaks, and adjust network settings (for example, block time and number of validators). We present clear, small formulas for throughput, latency, checkpoint cost, and security, and we show how these formulas guide design choices (block time \$T\_b\$, confirmations \$k\$, checkpoint period \$\tau\$). The goal is an easy model that links design choices to performance and security, helping readers build faster, safer, and more adaptive IoT-Fog Blockchain networks.},
  keywords = {blockchain, sidechain, IoT-Fog networks, scalability and security, artificial intelligence},
  issn = {3142-7855},
  publisher = {Institute of Central Computation and Knowledge}
}

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CC BY Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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