Realtime polymorphic malicious behavior detection in blockchain-based smart contracts

Author:

GaliŞ Darius1,PungilĂ Ciprian2,Negru Viorel3

Affiliation:

1. Faculty of Mathematics and Informatics , West University of Timişoara, Timişoara 300223, Romania, darius.galis@e-uvt.ro

2. Faculty of Mathematics and Informatics , West University of Timişoara, Timişoara 300223, Romania, ciprian.pungila@e-uvt.ro

3. Faculty of Mathematics and Informatics , West University of Timişoara, Timişoara 300223, Romania; ICAM–Environmental Advanced Research Institute, West University of Timisoara, Timişoara 300223, Romania, viorel.negru@e-uvt.ro

Abstract

Abstract This paper proposes an innovative approach to achieving real-time polymorphic behavior detection, and its direct application to blockchain-focused smart-contracts. We devise a method based on a non-deterministic finite state machine to perform approximate pattern-matching, using a look-ahead mechanism implemented through a concept similar to that of a sliding window, and using threshold-based similarity checking at every state in the automaton. We introduce and formalize our approach, discuss the challenges we faced and then test it in a real-world environment. The experimental results obtained showed a significant speed-up of our approach, as compared to the classic similarity measures used commonly in such scenarios.

Publisher

Oxford University Press (OUP)

Reference23 articles.

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3. Smart contract mistake locks up $34 million of ETH for NFT project,2022

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5. Developing a K-ary malware using blockchain;Moubarak, et al.;NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium

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