Published on: June 2026
TRADE SECRET PROTECTION IN INDUSTRIAL IOT DATA SHARING RISKS, REGULATORY GAPS, AND A CONCEPTUAL FRAMEWORK FOR PROTECTION
B M Manohara Bhavika Bandu Garvit Choudhary
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Abstract
Keywords: Industrial Internet of Things, Trade Secrets, Data Sharing, Data Governance, Cybersecurity, Regulatory Gaps
How to Cite this Paper
Manohara, B. M., Bandu, B. & Choudhary, G. (2026). TRADE SECRET PROTECTION IN INDUSTRIAL IOT DATA SHARING RISKS, REGULATORY GAPS, AND A CONCEPTUAL FRAMEWORK FOR PROTECTION. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.061
Manohara, B, et al.. "TRADE SECRET PROTECTION IN INDUSTRIAL IOT DATA SHARING RISKS, REGULATORY GAPS, AND A CONCEPTUAL FRAMEWORK FOR PROTECTION." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.061.
Manohara, B,Bhavika Bandu, and Garvit Choudhary. "TRADE SECRET PROTECTION IN INDUSTRIAL IOT DATA SHARING RISKS, REGULATORY GAPS, AND A CONCEPTUAL FRAMEWORK FOR PROTECTION." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.061.
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References
- Dao, T., Nguyen, M., Do, S., & Tran, H. (2026). Cybersecurity threats and defense mechanisms in IoT networks. arXiv. https://arxiv.org/abs/2601.00556
- Goutam, S., Kippen, H., Grace, M., & Rahmati, A. (2026). Proteus: A practical framework for privacy-preserving device logs. arXiv. https://arxiv.org/abs/2603.06540
- Imran, M. (2026). Architecting trust: A framework for secure IoT systems through trusted execution and semantic middleware. arXiv. https://arxiv.org/abs/2602.10762
- José, M. (2026). Privacy-preserving protocols in smart cities and industrial IoT: Challenges, trends, and future directions. Electronics, 15(2), 399. https://doi.org/10.3390/electronics15020399
- Kwon, Y., Corren, E., Garrido, G. M., Hoofnagle, C., & Song, D. (2023). SoK: The gap between data rights ideals and reality. arXiv. https://arxiv.org/abs/2312.01511
- Li, K., Wang, C., Xu, M., Zhang, Y., & Cheng, X. (2025). Dataset ownership in the era of large language models. arXiv. https://arxiv.org/abs/2509.05921
- Liu, L., Machacy, R., & Kuniyilh, S. (2026). Contrastive learning for privacy enhancements in the industrial internet of things. arXiv. https://arxiv.org/abs/2602.00515
- Sengupta, J., Ruj, S., & Bit, S. D. (2023). FairShare: Blockchain enabled fair, accountable and secure data sharing for industrial IoT. IEEE Transactions on Network and Service Management, 1–1. https://doi.org/10.1109/tnsm.2023.3239832
- Urquhart, L., & McAuley, D. (2018). Avoiding the internet of insecure industrial things. Computer Law & Security Review, 34(3), 450–466. https://doi.org/10.1016/j.clsr.2017.12.004
- Zhao, H., et al. (2026). Industrial data-service-knowledge governance: Toward integrated and trusted intelligence for industry 5.0. arXiv. https://arxiv.org/abs/2601.04569
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