When intrusion detection meets blockchain technology: a review

Meng, Weizhi, Tischhauser, Elmar Wolfgang, Wang, Qingju, Wang, Yu and Han, Jinguang 2018, When intrusion detection meets blockchain technology: a review, IEEE access, vol. 6, pp. 10179-10188, doi: 10.1109/ACCESS.2018.2799854.

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Title When intrusion detection meets blockchain technology: a review
Author(s) Meng, Weizhi
Tischhauser, Elmar Wolfgang
Wang, Qingju
Wang, Yu
Han, Jinguang
Journal name IEEE access
Volume number 6
Start page 10179
End page 10188
Total pages 10
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2018-01-30
ISSN 2169-3536
Keyword(s) blockchain technology
instrusion detection
collborative network
trust management
data sharing and management
Summary With the purpose of identifying cyber threats and possible incidents, intrusion detection systems (IDSs) are widely deployed in various computer networks. In order to enhance the detection capability of a single IDS, collaborative intrusion detection networks (or collaborative IDSs) have been developed, which allow IDS nodes to exchange data with each other. However, data and trust management still remain two challenges for current detection architectures, which may degrade the effectiveness of such detection systems. In recent years, blockchain technology has shown its adaptability in many fields, such as supply chain management, international payment, interbanking, and so on. As blockchain can protect the integrity of data storage and ensure process transparency, it has a potential to be applied to intrusion detection domain. Motivated by this, this paper provides a review regarding the intersection of IDSs and blockchains. In particular, we introduce the background of intrusion detection and blockchain, discuss the applicability of blockchain to intrusion detection, and identify open challenges in this direction.
Language eng
DOI 10.1109/ACCESS.2018.2799854
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109697

Document type: Journal Article
Collection: School of Information Technology
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