Intrusion detection model based on fuzzy theory and association rules
An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analy...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-05-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019077/ |
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| _version_ | 1841530508265127936 |
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| author | Jianwu ZHANG Jiasen HUANG Di ZHOU |
| author_facet | Jianwu ZHANG Jiasen HUANG Di ZHOU |
| author_sort | Jianwu ZHANG |
| collection | DOAJ |
| description | An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate. |
| format | Article |
| id | doaj-art-3b7d0e6d73b14a4a8853027fce56ddd5 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-3b7d0e6d73b14a4a8853027fce56ddd52025-01-15T03:02:54ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-05-0135596959589807Intrusion detection model based on fuzzy theory and association rulesJianwu ZHANGJiasen HUANGDi ZHOUAn intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019077/intrusion detectionApriori algorithmBoolean vectorfuzzy theory |
| spellingShingle | Jianwu ZHANG Jiasen HUANG Di ZHOU Intrusion detection model based on fuzzy theory and association rules Dianxin kexue intrusion detection Apriori algorithm Boolean vector fuzzy theory |
| title | Intrusion detection model based on fuzzy theory and association rules |
| title_full | Intrusion detection model based on fuzzy theory and association rules |
| title_fullStr | Intrusion detection model based on fuzzy theory and association rules |
| title_full_unstemmed | Intrusion detection model based on fuzzy theory and association rules |
| title_short | Intrusion detection model based on fuzzy theory and association rules |
| title_sort | intrusion detection model based on fuzzy theory and association rules |
| topic | intrusion detection Apriori algorithm Boolean vector fuzzy theory |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019077/ |
| work_keys_str_mv | AT jianwuzhang intrusiondetectionmodelbasedonfuzzytheoryandassociationrules AT jiasenhuang intrusiondetectionmodelbasedonfuzzytheoryandassociationrules AT dizhou intrusiondetectionmodelbasedonfuzzytheoryandassociationrules |