Work

SVM Machine Learning Model for Detection of Etherlock Vulnerability in Solidity Smart Contracts

Year: 2024

Type: conference-paper

Source: International Conference on Blockchain Computing and Applications (BCCA)

DOI: 10.1109/bcca62388.2024.10844475

Authors: Wesam Almobaideen, Rashed Alnuman, Tayyab Sajid, Qusai Hasan

Institution: Rochester Institute of Technology - Dubai

Language: English

Topic: Blockchain Technology Applications and Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4406729960

FWCI: 0.771

Cites: 13

Cited by: 2

Related to: 10