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Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

A lightweight data integrity scheme for sensor networks.

Ibrahim Kamel1, Hussam Juma

  • 1Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, UAE. kamel@sharjah.ac.ae

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary

This study introduces FWC-D, a novel fragile watermarking technique for wireless sensor networks (WSNs). FWC-D enhances data integrity and security, offering a more robust and faster solution compared to existing methods for energy-constrained WSNs.

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Area of Science:

  • Computer Science
  • Network Security
  • Wireless Sensor Networks

Background:

  • Wireless Sensor Networks (WSNs) face critical energy limitations, restricting the use of conventional public-key cryptography for security.
  • Existing security mechanisms are often too energy-intensive and require excessive storage for resource-constrained WSNs.
  • The need for efficient data integrity and alteration detection in WSNs is paramount due to potential unauthorized modifications.

Purpose of the Study:

  • To propose a new fragile watermarking technique, FWC-D, specifically designed for WSN data streams.
  • To enhance data integrity detection and mitigate security threats like replay attacks in WSNs.
  • To offer an energy-efficient and robust security solution suitable for the constraints of WSNs.

Main Methods:

Keywords:
data integritysecuritywatermarkingwireless sensor network

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

  • Developed the FWC-D scheme utilizing group delimiters for sender-receiver synchronization and ambiguity resolution.
  • Implemented a linked-list approach for storing hash-computed watermarks in preceding groups to ensure data freshness.
  • Introduced serial numbers (SN) per group to precisely track data insertions or deletions.

Main Results:

  • FWC-D demonstrates superior robustness against data alterations compared to the SGW integrity scheme.
  • Simulation results indicate that FWC-D significantly outperforms SGW in terms of processing speed.
  • The proposed scheme effectively maintains data integrity and mitigates replay attacks in WSN environments.

Conclusions:

  • FWC-D provides an effective and efficient solution for ensuring data integrity in energy-limited WSNs.
  • The scheme's robustness and speed make it a viable alternative to existing, more resource-intensive security mechanisms.
  • Fragile watermarking presents a promising approach for securing WSN data streams against unauthorized modifications.