Abstract
As blockchain-based platforms become increasingly ubiquitous, malicious actors looking to either break the underlying platform or leverage it for nefarious purposes will also become more common. In order to combat these actors, robust mechanisms to detect and address illicit activities must be developed. Many of the current approaches to detecting abnormal activity in blockchain-based platforms are platform specific. In this paper we provide some generic parameters that should be valid for most permissionless blockchain platforms, particularly permissionless blockchain platforms that can be used for malicious transaction detection. We then analyze those parameters in the Ethereum cryptocurrency platform. These parameters include volumetric transaction rate and unique address activity.
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Kanth, V., McEachen, J., Tummala, M. (2022). Parameter Identification for Malicious Transaction Detection in Blockchain Protocols. In: Prieto, J., Partida, A., Leitão, P., Pinto, A. (eds) Blockchain and Applications. BLOCKCHAIN 2021. Lecture Notes in Networks and Systems, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-030-86162-9_6
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DOI: https://doi.org/10.1007/978-3-030-86162-9_6
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