그래프 분류를 통한 이더리움 피싱 계좌 탐지 기법Phishing Account Detection on Ethereum via Graph Classification
- Other Titles
- Phishing Account Detection on Ethereum via Graph Classification
- Authors
- 김재현; 이세종; 김유신; 안세영; 권용석; 조성현
- Issue Date
- Jun-2022
- Publisher
- 대한전자공학회
- Citation
- 2022년 대한전자공학회 하계학술대회 논문집, pp 1937 - 1940
- Pages
- 4
- Indexed
- OTHER
- Journal Title
- 2022년 대한전자공학회 하계학술대회 논문집
- Start Page
- 1937
- End Page
- 1940
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114435
- Abstract
- Ethereum is being exploited for cybercrimes due to the anonymity of blockchain. The phishing that exploits Ethereum steals users’ assets to destabilize the Ethereum ecosystem. Therefore, detecting phishing accounts is important to protect users’ assets. In this paper, we propose a graph neural network-based phishing account detection via graph classification. We conducted experiments to detect phishing accounts on real Ethereum transactions. The experimental results show that the proposed method outperforms previous phishing detection methods by up to 0.12 f1-score.
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