Energy-Efficient Lightweight Cryptography for Secure Sensor Data Transmission in 5G IoT Networks

Authors

  • Kamaldeep Kaur Electrical and Electronics Engineering, University Institute of Engineering & Technology (UIET), Panjab University, Chandigarh, India
  • Sabhyata Uppal Soni Electrical and Electronics Engineering, UIET, Panjab University, Chandigarh, India
  • Sarpreet Kaur Electrical and Electronics Engineering, UIET, Panjab University, Chandigarh, India

DOI:

https://doi.org/10.70917/ijcisim-2026-4050

Keywords:

5G Networks, Internet of Things (IoT), Lightweight Cryptography, Secure Sensor Data Transmission, Pseudorandom Number Generator, Wireless Security, Resource-Constrained Devices, Streaming Data Protection

Abstract

The future 5G networks have to deal with the challenge of serving the global communications of the millions of devices comprising the Internet-of-Things. Conventional 4G mobile systems have a large computational capacity, thus applications that rely on the communication of sensor data (accelerators, GPS, and others) can implement heavy end-to-end securing solutions. New 5G mobile components are however normally less capable and of low clock speed. This, consequently, requires the creation of new sensor data transmission security solutions in streaming. This paper presents a light cryptography technology as a way of ensuring the safety of sensor data over radio transmission in 5G networks. The given solution is premised on the pseudorandom number generators that are specially created to address the needs of the 5G systems. It develops a simulation scenario and a first real deployment so as to test the performance of the contribution.

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Published

2026-07-31

How to Cite

Kamaldeep Kaur, Sabhyata Uppal Soni, & Sarpreet Kaur. (2026). Energy-Efficient Lightweight Cryptography for Secure Sensor Data Transmission in 5G IoT Networks. International Journal of Computer Information Systems and Industrial Management Applications, 18(13s), 192–204. https://doi.org/10.70917/ijcisim-2026-4050

Issue

Section

Original Articles