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

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

Published on: September 8, 2023

Attack Detection Using Network Coding in IoT Environment.

Yong Lee¹, Goo Yeon Lee²

¹Independent Researcher, Chuncheon 24341, Korea.

Sensors (Basel, Switzerland)

|February 27, 2020

Summary

Network coding enhances Internet of Things (IoT) efficiency. This study introduces a method to detect malicious packets and recover original data, even with compromised network coding transmissions.

Keywords:

Internet of Things attack detection network coding recovery

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Last Updated: Dec 27, 2025

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

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

Published on: September 8, 2023

Area of Science:

Computer Science
Information Technology

Background:

Network coding boosts efficiency in the Internet of Things (IoT) by enabling intermediate nodes to combine and transmit packets.
Security is a concern, as malicious nodes can inject fabricated packets, complicating data authenticity verification.

Purpose of the Study:

To propose a novel scheme for detecting attacked packets within network coding systems.
To enable the recovery of original messages even when attacked packets are present.

Main Methods:

Developing a detection mechanism for identifying malicious, fabricated encoded packets at the destination node.
Implementing a data recovery process that utilizes received packets, including those identified as attacked.

Main Results:

The proposed scheme effectively detects attacked packets in network coding.
Successful recovery of the original message is demonstrated, even with the inclusion of "look-alike-valid" attacked packets.
The method shows efficient performance in network coding scenarios.

Conclusions:

The developed scheme enhances the security and reliability of network coding in IoT environments.
It provides a robust solution for data recovery in the presence of malicious attacks.
This approach contributes to more trustworthy and efficient IoT networks.