DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology
The Internet of Things (IoT) has widely expanded due to its advantages in enhancing the business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to several cyber-attacks due to the endpoint devices’ restrictions in computation, storage, and communication capacity....
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Format: | Article |
Language: | English |
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MDPI AG
2022-09-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/18/6806 |
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author | Rahmeh Fawaz Ibrahim Qasem Abu Al-Haija Ashraf Ahmad |
author_facet | Rahmeh Fawaz Ibrahim Qasem Abu Al-Haija Ashraf Ahmad |
author_sort | Rahmeh Fawaz Ibrahim |
collection | DOAJ |
description | The Internet of Things (IoT) has widely expanded due to its advantages in enhancing the business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to several cyber-attacks due to the endpoint devices’ restrictions in computation, storage, and communication capacity. As such, distributed denial-of-service (DDoS) attacks pose a serious threat to the security of the IoT. Attackers can easily utilize IoT devices as part of botnets to launch DDoS attacks by taking advantage of their flaws. This paper proposes an Ethereum blockchain model to detect and prevent DDoS attacks against IoT systems. Additionally, the proposed system can be used to resolve the single points of failure (dependencies on third parties) and privacy and security in IoT systems. First, we propose implementing a decentralized platform in place of current centralized system solutions to prevent DDoS attacks on IoT devices at the application layer by authenticating and verifying these devices. Second, we suggest tracing and recording the IP address of malicious devices inside the blockchain to prevent them from connecting and communicating with the IoT networks. The system performance has been evaluated by performing 100 experiments to evaluate the time taken by the authentication process. The proposed system highlights two messages with a time of 0.012 ms: the first is the request transmitted from the IoT follower device to join the blockchain, and the second is the blockchain response. The experimental evaluation demonstrated the superiority of our system because there are fewer I/O operations in the proposed system than in other related works, and thus it runs substantially faster. |
first_indexed | 2024-03-09T22:34:25Z |
format | Article |
id | doaj.art-07a962c68a86410187b22234c6693007 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T22:34:25Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-07a962c68a86410187b22234c66930072023-11-23T18:49:44ZengMDPI AGSensors1424-82202022-09-012218680610.3390/s22186806DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain TechnologyRahmeh Fawaz Ibrahim0Qasem Abu Al-Haija1Ashraf Ahmad2Department of Computer Science/Cybersecurity, Princess Sumaya University for Technology (PSUT), Amman 11941, JordanDepartment of Computer Science/Cybersecurity, Princess Sumaya University for Technology (PSUT), Amman 11941, JordanDepartment of Computer Science/Cybersecurity, Princess Sumaya University for Technology (PSUT), Amman 11941, JordanThe Internet of Things (IoT) has widely expanded due to its advantages in enhancing the business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to several cyber-attacks due to the endpoint devices’ restrictions in computation, storage, and communication capacity. As such, distributed denial-of-service (DDoS) attacks pose a serious threat to the security of the IoT. Attackers can easily utilize IoT devices as part of botnets to launch DDoS attacks by taking advantage of their flaws. This paper proposes an Ethereum blockchain model to detect and prevent DDoS attacks against IoT systems. Additionally, the proposed system can be used to resolve the single points of failure (dependencies on third parties) and privacy and security in IoT systems. First, we propose implementing a decentralized platform in place of current centralized system solutions to prevent DDoS attacks on IoT devices at the application layer by authenticating and verifying these devices. Second, we suggest tracing and recording the IP address of malicious devices inside the blockchain to prevent them from connecting and communicating with the IoT networks. The system performance has been evaluated by performing 100 experiments to evaluate the time taken by the authentication process. The proposed system highlights two messages with a time of 0.012 ms: the first is the request transmitted from the IoT follower device to join the blockchain, and the second is the blockchain response. The experimental evaluation demonstrated the superiority of our system because there are fewer I/O operations in the proposed system than in other related works, and thus it runs substantially faster.https://www.mdpi.com/1424-8220/22/18/6806blockchainEthereumsmart contractauthorizationDDoS attacksIoT |
spellingShingle | Rahmeh Fawaz Ibrahim Qasem Abu Al-Haija Ashraf Ahmad DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology Sensors blockchain Ethereum smart contract authorization DDoS attacks IoT |
title | DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology |
title_full | DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology |
title_fullStr | DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology |
title_full_unstemmed | DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology |
title_short | DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology |
title_sort | ddos attack prevention for internet of thing devices using ethereum blockchain technology |
topic | blockchain Ethereum smart contract authorization DDoS attacks IoT |
url | https://www.mdpi.com/1424-8220/22/18/6806 |
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