Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets
Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and software. Existing security models, approaches...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/11/11/226 |
| _version_ | 1818499491940007936 |
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| author | Georgios Spathoulas Nikolaos Giachoudis Georgios-Paraskevas Damiris Georgios Theodoridis |
| author_facet | Georgios Spathoulas Nikolaos Giachoudis Georgios-Paraskevas Damiris Georgios Theodoridis |
| author_sort | Georgios Spathoulas |
| collection | DOAJ |
| description | Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and software. Existing security models, approaches and solutions are not able to sufficiently protect such systems. In this paper we propose the use of lightweight agents installed at multiple internet of things (IoT) installations (e.g., smart-homes), in order to collaboratively detect distributed denial of service (DDoS) attacks conducted by the use of IoT devices botnets. Specifically, agents exchange outbound traffic information in order to identify possible victims of DDoS attacks. This information exchange is governed by a blockchain smart contract, that ensures the integrity of both the procedure and the information. A simulation of the operation of the proposed methodology has been conducted in order to evaluate both its detection efficiency and its resilience against malicious agents that aim to falsify results. |
| first_indexed | 2024-12-10T20:30:17Z |
| format | Article |
| id | doaj.art-b3dd30016d774b0899ad3864bfb1bb6d |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-12-10T20:30:17Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-b3dd30016d774b0899ad3864bfb1bb6d2022-12-22T01:34:43ZengMDPI AGFuture Internet1999-59032019-10-01111122610.3390/fi11110226fi11110226Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things BotnetsGeorgios Spathoulas0Nikolaos Giachoudis1Georgios-Paraskevas Damiris2Georgios Theodoridis3Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 2815 Gjovik, NorwayDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, GreeceInternet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and software. Existing security models, approaches and solutions are not able to sufficiently protect such systems. In this paper we propose the use of lightweight agents installed at multiple internet of things (IoT) installations (e.g., smart-homes), in order to collaboratively detect distributed denial of service (DDoS) attacks conducted by the use of IoT devices botnets. Specifically, agents exchange outbound traffic information in order to identify possible victims of DDoS attacks. This information exchange is governed by a blockchain smart contract, that ensures the integrity of both the procedure and the information. A simulation of the operation of the proposed methodology has been conducted in order to evaluate both its detection efficiency and its resilience against malicious agents that aim to falsify results.https://www.mdpi.com/1999-5903/11/11/226iotddosagentsbotnetssecuritydetectionblockchain |
| spellingShingle | Georgios Spathoulas Nikolaos Giachoudis Georgios-Paraskevas Damiris Georgios Theodoridis Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets Future Internet iot ddos agents botnets security detection blockchain |
| title | Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets |
| title_full | Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets |
| title_fullStr | Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets |
| title_full_unstemmed | Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets |
| title_short | Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets |
| title_sort | collaborative blockchain based detection of distributed denial of service attacks based on internet of things botnets |
| topic | iot ddos agents botnets security detection blockchain |
| url | https://www.mdpi.com/1999-5903/11/11/226 |
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