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Cybercrime on it has become increasingly rampant, among which scam behavior is convenient, cryptic, antagonistic and resulting in large economic losses. So we consider the scam behavior on Ethereum and investigate it at the node interaction level. Based on the life cycle and risk identification points we found, we propose an automatic detection model named <jats:italic>Aparecium<\/jats:italic>. First, a graph generation method which focus on the scam life cycle is adopted to mitigate the sparsity of the scam behaviors. Second, the life cycle patterns are delicate modeled because of the crypticity and antagonism of Ethereum scam behaviors. Conducting experiments in the wild Ethereum datasets, we prove <jats:italic>Aparecium<\/jats:italic> is effective which the precision, recall and F1-score achieve at 0.977, 0.957 and 0.967 respectively.<\/jats:p>","DOI":"10.1186\/s42400-023-00180-x","type":"journal-article","created":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T01:11:18Z","timestamp":1696554678000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Aparecium: understanding and detecting scam behaviors on Ethereum via biased random walk"],"prefix":"10.1186","volume":"6","author":[{"given":"Chuyi","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinhao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinhao","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuling","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,6]]},"reference":[{"key":"180_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14142-8","volume-title":"Data mining: the textbook","author":"CC Aggarwal","year":"2015","unstructured":"Aggarwal CC et al (2015) Data mining: the textbook. 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