Biologically inspired smart contract: A blockchain-based DDoS detection system

Han, Xu, Zhang, Rongbai, Liu, Xingzi and Jiang, Frank 2020, Biologically inspired smart contract: A blockchain-based DDoS detection system, in ICNSC 2020 : Proceedings of IEEE International Conference on Networking, Sensing and Control, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., doi: 10.1109/icnsc48988.2020.9238104.

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Title Biologically inspired smart contract: A blockchain-based DDoS detection system
Author(s) Han, Xu
Zhang, Rongbai
Liu, Xingzi
Jiang, FrankORCID iD for Jiang, Frank orcid.org/0000-0003-3088-8525
Conference name ICNSC - Networking, Sensing and Control. IEEE International Conference (2020 : Nanjing, China (online)
Conference location Nanjing, Chine (online)
Conference dates 30 Oct - 02 Nov. 2020
Title of proceedings ICNSC 2020 : Proceedings of IEEE International Conference on Networking, Sensing and Control
Publication date 2020
Total pages 6
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Keyword(s) blockchain
smart contract
collaborative detection system
DDoS attack
Fuzzy Neural Network
no CORE2020
Summary With the increase of Internet usage, the identification and recovery from cyber-attacks become the major concerns for cyber industries. Therefore, the harm caused by network attacks has caused widespread concern. Distributed Denial of Service (DDoS) attack is a very common destructive cyber attack. This is a network attack that destroys the network and can cause multiple computers to be attacked at the same time, failing to perform services properly. Therefore, based on the understanding of blockchain structure and DDoS characteristics, a blockchain-based DDoS detection model framework is proposed to form a blockchain-based collaborative detection system. We use the blockchain consortium chain structure to treat all participants as part of the private chain in the system. Each participating organization has its own channel, and other organizations cannot access its information, thus fully protecting the privacy of each participant. Our experimental results show that smart contracts can detect DDoS data and generate anomalous chains on each node. The time required to generate an exception chain and information sharing is very short, which indicates that the system can protect the privacy of user data. While sharing data in time, good results can be obtained as a collaborative detection system.
ISBN 9781728168531
Language eng
DOI 10.1109/icnsc48988.2020.9238104
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2020, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145569

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