Art

J-GLOBAL ID：202202263094868622   Reference number：22A0878314

BlockCSDN: Towards Blockchain-Based Collaborative Intrusion Detection in Software Defined Networking

ブロックCSDN:ソフトウェア定義ネットワーキングにおけるブロックチェーンベース協調侵入検出に向けて

Author (7)： LI Wenjuan (Institute of Artificial Intelligence and Blockchain, Guangzhou University) ,  LI Wenjuan (Department of Electronic and Information Engineering, The Hong Kong Polytechnic University) ,  WANG Yu (Institute of Artificial Intelligence and Blockchain, Guangzhou University) ,  MENG Weizhi (Institute of Artificial Intelligence and Blockchain, Guangzhou University) ,  MENG Weizhi (Department of Applied Mathematics and Computer Science, Technical University of Denmark) ,  LI Jin (Institute of Artificial Intelligence and Blockchain, Guangzhou University) ,  SU Chunhua (University of Aizu)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E105.D  Issue： 2  Page： 272-279(J-STAGE)  Publication year： 2022 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *information technology ,  *network management ,  communication administration ,  computer system(hardware) ,  platform(communication) ,  completeness ,  member(organization) ,  *data protection
Semi thesaurus term： insider ,  data integrity ,  platform ,  *Blockchain

Author keywords (5)： collaborative intrusion detection ,  blockchain technology ,  software defined networking ,  insider attack ,  challenge-based trust management

JST classification (1)： Data protection  (JD01020V)

Reference (41)：

• [1] W. Li, J. Tan, and Y. Wang, “A framework of blockchain-based collaborative intrusion detection in software defined networking,” Network and System Security, NSS 2020, LNCS 12570, pp.261-276, Springer, 2020. 10.1007/978-3-030-65745-1_15
• [2] N. Alexopoulos, E Vasilomanolakis, N.R. Ivánkó, and M. Mühlhäuser, “Towards blockchain-based collaborative intrusion detection systems,” Proc. 12th International Conference on Critical Information Infrastructures Security, LNCS 10707, pp.107-118, Springer, 2017. 10.1007/978-3-319-99843-5_10
• [3] M. Eskandari, Z.H. Janjua, M. Vecchio, and F. Antonelli, “Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices,” IEEE Internet Things J., vol.7, no.8, pp.6882-6897, 2020. 10.1109/jiot.2020.2970501
• [4] C.J. Fung, O. Baysal, J. Zhang, I. Aib, and R. Boutaba, “Trust management for host-based collaborative intrusion detection,” F. De Turck, W. Kellerer, and G. Kormentzas (eds.), Managing Large-Scale Service Deployment, DSOM 2008, LNCS 5273, pp.109-122, Springer, 2008. 10.1007/978-3-540-87353-2_9
• [5] T. Golomb, Y. Mirsky, and Y. Elovici, “CIoTA: Collaborative IoT anomaly detection via blockchain,” Proc. Workshop on Decentralized IoT Security and Standards (DISS), pp.1-6, 2018. 10.14722/diss.2018.23003

Terms in the title (4)： ソフトウェア定義ネットワーキング ,  ブロックチェーン ,  協調 ,  侵入