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Data Communication Based on MQTT in a Polymer Extrusion Process

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DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology.

Rahmeh Fawaz Ibrahim¹, Qasem Abu Al-Haija¹, Ashraf Ahmad¹

¹Department of Computer Science/Cybersecurity, Princess Sumaya University for Technology (PSUT), Amman 11941, Jordan.

Sensors (Basel, Switzerland)

|September 23, 2022

Summary

This summary is machine-generated.

This study introduces an Ethereum blockchain model to combat distributed denial-of-service (DDoS) attacks on Internet of Things (IoT) systems. The decentralized approach enhances security by authenticating devices and blocking malicious actors, improving IoT safety.

Keywords:

DDoS attacks Ethereum IoT authorization blockchain smart contract

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Area of Science:

Cybersecurity
Computer Networks
Distributed Systems

Background:

The Internet of Things (IoT) ecosystem is expanding, but its devices have limited resources, making them vulnerable to cyber-attacks like distributed denial-of-service (DDoS).
Current centralized security solutions for IoT are susceptible to single points of failure and privacy concerns.
Botnets leveraging compromised IoT devices are a significant threat, enabling large-scale DDoS attacks.

Purpose of the Study:

To propose and evaluate a novel Ethereum blockchain model for detecting and preventing DDoS attacks in IoT environments.
To enhance the security and privacy of IoT systems by addressing single points of failure inherent in centralized architectures.
To develop a decentralized application-layer security solution for IoT devices.

Main Methods:

Implementation of a decentralized platform using Ethereum blockchain for IoT device authentication and verification.
Utilizing the blockchain to trace and record IP addresses of malicious devices, preventing their network access.
Conducting 100 experiments to measure the authentication process time and system performance.

Main Results:

The proposed blockchain model achieved an authentication time of 0.012 ms for IoT device registration.
The system effectively authenticates and verifies IoT devices at the application layer.
Experimental results show fewer I/O operations compared to related works, leading to substantially faster performance.

Conclusions:

The Ethereum blockchain model offers a robust and efficient solution for mitigating DDoS attacks in IoT systems.
Decentralization through blockchain technology enhances IoT security, privacy, and resilience against single points of failure.
The proposed system demonstrates superior performance and speed in securing IoT networks against cyber threats.