A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking

authors

• Kim, Jinoh

published proceedings

• IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT

altmetric score

• 3

author list (cited authors)

• Kim, J., Nakashima, M., Fan, W., Wuthier, S., Zhou, X., Kim, I., & Chang, S.

citation count

• 4

complete list of authors

• Kim, Jinoh||Nakashima, Makiya||Fan, Wenjun||Wuthier, Simeon||Zhou, Xiaobo||Kim, Ikkyun||Chang, Sang-Yoon

publication date

• September 2022

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Network and Service Management  Journal

keywords

• Anomaly Detection
• Bitcoin
• Blockchain
• Blockchains
• Data Collection
• Engines
• Machine Learning
• Online Detection
• P2p Networking
• Peer-to-peer Computing
• Security
• Semi-supervised Learning
• Traffic Analysis

Digital Object Identifier (DOI)

• 10.1109/TNSM.2022.3173598

start page

• 3619

end page

• 3632

volume

• 19

issue

• 3

URL

• http://dx.doi.org/10.1109/tnsm.2022.3173598