DATA TRANSMISSION CONFIDENTIALITY CHALLENGES IN THE INTERNET OF THINGS

DATA TRANSMISSION CONFIDENTIALITY CHALLENGES IN THE INTERNET OF THINGS

Authors

  • Mardiyev Ulugbek

DOI:

https://doi.org/10.5281/zenodo.18441997

Keywords:

Internet of Things (IoT), Industry 4.0, data confidentiality, cryptography, asymmetric encryption, prime numbers, information security.

Abstract

This article examines data transmission confidentiality challenges in Internet of Things (IoT) technologies within
the framework of Industry 4.0. The rapid growth of IoT devices and the increasing volume of exchanged data have
significantly intensified data security risks. The study focuses on data breach threats, the role of cryptographic techniques
in ensuring confidentiality and integrity, and the importance of prime-number-based keys in asymmetric cryptosystems.
In addition, the paper discusses probabilistic and deterministic primality testing algorithms and their implications for
cryptographic stability in IoT environments.

Author Biography

Mardiyev Ulugbek


Researcher at Department of Cryptology
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

References

Ahmad, W., Rasool, A., Javed, A. R., Baker, T., & Jalil, Z. (2021). Cyber security in IoT-based cloud computing: A

comprehensive survey. Electronics, 11(1), 16.

Kumar, P., Kumar, R., Srivastava, G., Gupta, G. P., Tripathi, R., Gadekallu, T. R., & Xiong, N. N. (2021). PPSF: A

privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities. IEEE

Transactions on Network Science and Engineering, 8(3), 2326-2341.

Salama, R., Altrjman, C., & Al-Turjman, F. (2023). An overview of the Internet of Things (IoT) and Machine to Machine

(M2M) Communications. NEU Journal for Artificial Intelligence and Internet of Things, 2(3).

T. M. Fernández-Caramés and P. Fraga-Lamas, “A review on the use of blockchain for the internet of things,” IEEE

Access, vol. 6, pp. 32 979–33 001, 2018.

Nartey, C., Tchao, E. T., Gadze, J. D., Keelson, E., Klogo, G. S., Kommey, B., & Diawuo, K. (2021). On blockchain and

IoT integration platforms: current implementation challenges and future perspectives. Wireless Communications and

Mobile Computing, 2021, 1-25.

Kantipudi, M. P., Moses, C. J., Aluvalu, R., & Kumar, S. (2021). Remote patient monitoring using IoT, cloud computing

and AI. Hybrid Artificial Intelligence and IoT in Healthcare, 51-74.

Alaghbari, K. A., Saad, M. H. M., Hussain, A., & Alam, M. R. (2022). Complex event processing for physical and cyber

security in datacentres-recent progress, challenges and recommendations. Journal of Cloud Computing, 11(1), 65.

Pulatovna, O. A., & Rasulovich, U. M. (2023). A method for improving Milner-Rabin algorithm to reduce the number of

false witnesses. Texas Journal of Engineering and Technology, 18, 63-70.

Koukoulopoulos, D. (2020). The distribution of prime numbers. American Mathematical Soc..

Ishmukhametov, S. T., Mubarakov, B. G., & Rubtsova, R. G. (2020). On the number of witnesses in the Miller–Rabin

primality test. Symmetry, 12(6), 890.

D. M. Bressoud, “Factorizations and primality testing”, in SpringerVerlag, NY, 1989, pp. 21-22.

Duta, C. L., Gheorghe, L., & Tapus, N. (2015, May). Framework for evaluation and comparison of primality testing

algorithms. In 2015 20th International Conference on Control Systems and Computer Science (pp. 483-490). IEEE.

Westerdijk, L. (2021). Algorithms for Testing Primality (Bachelor’s thesis).

Nagell, T. (2021). Introduction to number theory (Vol. 163). American Mathematical Soc.

Adleman L. M., Huang M. D. Algorithmic Number Theory First International Symposium, ANTS-I Ithaca, NY, USA, May

–9, 1994 Proceedings //Conference proceedings ANTS. – 1994. – P. 292.

Robert, Solovay., Volker, Strassen. “A Fast Monte-Carlo Test for Primality.” SIAM Journal on Computing, 6 (1977).:84-

doi: 10.1137/0206006

M. O. Rabin, “Probabilistic Algorithms”, in Academic Press, Algorithms and Complexity, New Directions and Recent

Results, 1976, pp. 21-24.

R. Baillie, S.W. Jr. Wagstaff, “Lucas Pseudoprimes”, in Math. Comput. vol 35, 1980, pp. 1391-1417.

Grau J., Oller-Marcén A., Sadornil D. A primality test for ????????ⁿ+ 1 numbers //Mathematics of Computation. – 2015. – Т.

– №. 291. – P. 505-512.

Buchmann, Johannes, and Volker Müller. “Primality testing.” (1992).

Pulatovna O. A., Rasulovich U. M. A method for improving Milner-Rabin algorithm to reduce the number of false

witnesses //Texas Journal of Engineering and Technology. – 2023. – Т. 18. – P. 63-70.

Downloads

Published

2026-01-01

How to Cite

Mardiyev , U. (2026). DATA TRANSMISSION CONFIDENTIALITY CHALLENGES IN THE INTERNET OF THINGS. Innovation Science and Technology, 1(12). https://doi.org/10.5281/zenodo.18441997
Loading...