BlockCSDN: Towards blockchain-based collaborative intrusion detection in software defined networking

Wenjuan LI, Yu WANG, Weizhi MENG, Jin LI, Chunhua SU

Research output: Contribution to journalArticlespeer-review

15 Citations (Scopus)

Abstract

To safeguard critical services and assets in a distributed environment, collaborative intrusion detection systems (CIDSs) are usually adopted to share necessary data and information among various nodes, and enhance the detection capability. For simplifying the network management, software defined networking (SDN) is an emerging platform that decouples the controller plane from the data plane. Intuitively, SDN can help lighten the management complexity in CIDSs, and a CIDS can protect the security of SDN. In practical implementation, trust management is an important approach to help identify insider attacks (or malicious nodes) in CIDSs, but the challenge is how to ensure the data integrity when evaluating the reputation of a node. Motivated by the recent development of blockchain technology, in this work, we design BlockCSDN - a framework of blockchain-based collaborative intrusion detection in SDN, and take the challenge-based CIDS as a study. The experimental results under both external and internal attacks indicate that using blockchain technology can benefit the robustness and security of CIDSs and SDN. Copyright © 2022 The Institute of Electronics, Information and Communication Engineers.

Original languageEnglish
Pages (from-to)272-279
JournalIEICE Transactions on Information and Systems
VolumeE105–D
Issue number2
DOIs
Publication statusPublished - Feb 2022

Citation

Li, W., Wang, Y., Meng, W., Li, J., & Su, C. (2022). BlockCSDN: Towards blockchain-based collaborative intrusion detection in software defined networking. IEICE Transactions on Information and Systems, E105–D(2), 272-279. https://doi.org/10.1587/transinf.2021BCP0013

Keywords

  • Collaborative intrusion detection
  • Blockchain technology
  • Software defined networking
  • Insider attack
  • Challenge-based trust management

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