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A Systematic Review of Kernel-Level Security Mechanisms, Vulnerability Detection and Mitigation in Modern Operating Systems.

Sensors (Basel, Switzerland)ยท2026
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Related Experiment Video

Updated: Jan 29, 2026

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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Secure TPMS Data Transmission in Real-Time IoV Environments: A Study on 5G and LoRa Networks.

D K Niranjan1, Muthuraman Supriya1, Walter Tiberti2

  • 1Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru 560035, India.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Summary

This study introduces a secure Tire Pressure Monitoring System (TPMS) for the Internet of Vehicles (IoV), enhancing safety and reliability. LoRa P2P communication offers superior energy efficiency and attack resistance compared to 5G in diverse terrains.

Keywords:
5GLoRaRaspberry Piair pressureinternet of vehiclesecuritysensor monitoringtire pressure monitoring systemvehicle to vehicle

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Area of Science:

  • Automotive Engineering and Cybersecurity
  • Internet of Vehicles (IoV) communication systems
  • Wireless sensor networks for transportation

Background:

  • Automotive Industry 4.0 drives advancements in Vehicle to Vehicle (V2V) and IoV, enabling intelligent transportation.
  • Current Tire Pressure Monitoring Systems (TPMS) often use insecure wireless links, posing cybersecurity risks.
  • TPMS is critical for vehicle stability, braking, and fuel efficiency, making its security paramount.

Purpose of the Study:

  • To design and implement a secure TPMS architecture for real-time IoV sensing.
  • To evaluate the performance and security of the proposed TPMS against physical threats and data manipulation.
  • To compare the effectiveness of LoRa P2P and 5G communication protocols in IoV environments.

Main Methods:

  • Experimental implementation using Raspberry Pi 3B+ and LoRa SX1278 for a secure TPMS prototype.
  • Lightweight cryptographic algorithms for data encryption, integrity checks, and source authentication.
  • Simulation using MATLAB R2024a, replicating data across 100 virtual vehicles using 5G, LoRaWAN, and LoRa P2P protocols.

Main Results:

  • The secure TPMS architecture successfully detected physical-level threats in a three-node exhibition.
  • LoRa P2P demonstrated superior reliability, energy efficiency, and attack resistance across urban, rural, and hill-station scenarios.
  • While 5G offers low latency, LoRa P2P showed advantages in specific IoV conditions, considering infrastructure limitations.

Conclusions:

  • The Raspberry Pi-MATLAB hybrid solution provides an effective and scalable method for securing TPMS in IoV.
  • LoRa P2P communication is a viable and robust alternative for IoV sensing, especially where 5G infrastructure is limited.
  • The study highlights crucial trade-offs between different communication protocols, enabling safer and smarter next-generation vehicular systems.