Frequent path discovery algorithm for financial network
With the proliferation of various illegal financial activities,more and more attention is paid to the research of finding criminal cues in financial network by scholars.The characteristics of the transaction data generated by bank accounts are analyzed in detail,and a general model of bank account t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2019-10-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019050 |
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| _version_ | 1841530101886353408 |
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| author | Fang LYU Fenghe TANG Junheng HUANG Bailing WANG |
| author_facet | Fang LYU Fenghe TANG Junheng HUANG Bailing WANG |
| author_sort | Fang LYU |
| collection | DOAJ |
| description | With the proliferation of various illegal financial activities,more and more attention is paid to the research of finding criminal cues in financial network by scholars.The characteristics of the transaction data generated by bank accounts are analyzed in detail,and a general model of bank account transaction network is established.On this basis,a two-direction active edge searching method is proposed to solve the problem of evaluating the relationship strength between financial entities.And then,a breadth-first frequent path discovery algorithm with depth controlled is presented,with which the way how the financial flows is restored.Experiment results on the real bank data show that the above two methods are effective in solving the problem of peer prediction and financial tracking respectively. |
| format | Article |
| id | doaj-art-fdb8202edc1941c9a7be20af3d5355de |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2019-10-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-fdb8202edc1941c9a7be20af3d5355de2025-01-15T03:13:43ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2019-10-015485559556653Frequent path discovery algorithm for financial networkFang LYUFenghe TANGJunheng HUANGBailing WANGWith the proliferation of various illegal financial activities,more and more attention is paid to the research of finding criminal cues in financial network by scholars.The characteristics of the transaction data generated by bank accounts are analyzed in detail,and a general model of bank account transaction network is established.On this basis,a two-direction active edge searching method is proposed to solve the problem of evaluating the relationship strength between financial entities.And then,a breadth-first frequent path discovery algorithm with depth controlled is presented,with which the way how the financial flows is restored.Experiment results on the real bank data show that the above two methods are effective in solving the problem of peer prediction and financial tracking respectively.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019050two-direction active edgefrequent pathpeer predictionfinancial tracking |
| spellingShingle | Fang LYU Fenghe TANG Junheng HUANG Bailing WANG Frequent path discovery algorithm for financial network 网络与信息安全学报 two-direction active edge frequent path peer prediction financial tracking |
| title | Frequent path discovery algorithm for financial network |
| title_full | Frequent path discovery algorithm for financial network |
| title_fullStr | Frequent path discovery algorithm for financial network |
| title_full_unstemmed | Frequent path discovery algorithm for financial network |
| title_short | Frequent path discovery algorithm for financial network |
| title_sort | frequent path discovery algorithm for financial network |
| topic | two-direction active edge frequent path peer prediction financial tracking |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019050 |
| work_keys_str_mv | AT fanglyu frequentpathdiscoveryalgorithmforfinancialnetwork AT fenghetang frequentpathdiscoveryalgorithmforfinancialnetwork AT junhenghuang frequentpathdiscoveryalgorithmforfinancialnetwork AT bailingwang frequentpathdiscoveryalgorithmforfinancialnetwork |