Study on user’s identification system in insider threats
Monitoring user’s abnormal behaviors, which is an effective method to detect impersonation, is used for im-personation detection in insider threats.A model is built by using TAN-based Bayesian network to reflect the characteris-tics of user’s behavior.When the deviation from the model is found, the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74650541/ |
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| _version_ | 1841537680082468864 |
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| author | PEI Qing-qi1 ZHAO Peng2 ZHANG Hong-bin3 WANG Chao2 YIN Hao1 |
| author_facet | PEI Qing-qi1 ZHAO Peng2 ZHANG Hong-bin3 WANG Chao2 YIN Hao1 |
| author_sort | PEI Qing-qi1 |
| collection | DOAJ |
| description | Monitoring user’s abnormal behaviors, which is an effective method to detect impersonation, is used for im-personation detection in insider threats.A model is built by using TAN-based Bayesian network to reflect the characteris-tics of user’s behavior.When the deviation from the model is found, the system can determine the identity of the user.As a result, experiments show that the monitoring numbers of processes called by users can be very effective on detecting impersonation and can identify the identity of the attacker. |
| format | Article |
| id | doaj-art-4d4d153c76204b91bcc036a11fbd6424 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4d4d153c76204b91bcc036a11fbd64242025-01-14T08:27:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-013012112674650541Study on user’s identification system in insider threatsPEI Qing-qi1ZHAO Peng2ZHANG Hong-bin3WANG Chao2YIN Hao1Monitoring user’s abnormal behaviors, which is an effective method to detect impersonation, is used for im-personation detection in insider threats.A model is built by using TAN-based Bayesian network to reflect the characteris-tics of user’s behavior.When the deviation from the model is found, the system can determine the identity of the user.As a result, experiments show that the monitoring numbers of processes called by users can be very effective on detecting impersonation and can identify the identity of the attacker.http://www.joconline.com.cn/zh/article/74650541/insider threatidentificationBayesian networkextended tree augment naive bayesian |
| spellingShingle | PEI Qing-qi1 ZHAO Peng2 ZHANG Hong-bin3 WANG Chao2 YIN Hao1 Study on user’s identification system in insider threats Tongxin xuebao insider threat identification Bayesian network extended tree augment naive bayesian |
| title | Study on user’s identification system in insider threats |
| title_full | Study on user’s identification system in insider threats |
| title_fullStr | Study on user’s identification system in insider threats |
| title_full_unstemmed | Study on user’s identification system in insider threats |
| title_short | Study on user’s identification system in insider threats |
| title_sort | study on user s identification system in insider threats |
| topic | insider threat identification Bayesian network extended tree augment naive bayesian |
| url | http://www.joconline.com.cn/zh/article/74650541/ |
| work_keys_str_mv | AT peiqingqi1 studyonusersidentificationsystemininsiderthreats AT zhaopeng2 studyonusersidentificationsystemininsiderthreats AT zhanghongbin3 studyonusersidentificationsystemininsiderthreats AT wangchao2 studyonusersidentificationsystemininsiderthreats AT yinhao1 studyonusersidentificationsystemininsiderthreats |