Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud
As the issue of low efficiency and poor scalability in general sub-tree anonymous method of treating big data,a bottom-up generalization(BUG) method with scalability was proposed,and on this basis,combined with the existing top-down specialization(TDS),a hybrid approach was formed.In the proposed me...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-07-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016135/ |
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| _version_ | 1841529136824188928 |
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| author | Xiaofeng FAN Feng YAN Yang LIU |
| author_facet | Xiaofeng FAN Feng YAN Yang LIU |
| author_sort | Xiaofeng FAN |
| collection | DOAJ |
| description | As the issue of low efficiency and poor scalability in general sub-tree anonymous method of treating big data,a bottom-up generalization(BUG) method with scalability was proposed,and on this basis,combined with the existing top-down specialization(TDS),a hybrid approach was formed.In the proposed method,k-anonymity was being as a privacy model,the compositions of TDS and BUG were developed with mapping simplification,and higher scalability through powerful cloud computing capabilities were achieved.The proposed mapping simplification BUG could insert a new candidate after several cycles of generalization,and would not affect information loss of another generalization.Given the complexity of the relationship between workload balancing point K and anonymous parameter k,mapping simplifications of BUG and TDS were combined to form a hybrid approach.Experimental results demonstrate the effectiveness of the proposed method and compared with TDS and BUG,the efficiency and scalability of hybrid method are greatly improved. |
| format | Article |
| id | doaj-art-f9feb70a5dd84e92ac7cdb3e2abe5048 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-f9feb70a5dd84e92ac7cdb3e2abe50482025-01-15T03:25:08ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-07-0132909659801036Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloudXiaofeng FANFeng YANYang LIUAs the issue of low efficiency and poor scalability in general sub-tree anonymous method of treating big data,a bottom-up generalization(BUG) method with scalability was proposed,and on this basis,combined with the existing top-down specialization(TDS),a hybrid approach was formed.In the proposed method,k-anonymity was being as a privacy model,the compositions of TDS and BUG were developed with mapping simplification,and higher scalability through powerful cloud computing capabilities were achieved.The proposed mapping simplification BUG could insert a new candidate after several cycles of generalization,and would not affect information loss of another generalization.Given the complexity of the relationship between workload balancing point K and anonymous parameter k,mapping simplifications of BUG and TDS were combined to form a hybrid approach.Experimental results demonstrate the effectiveness of the proposed method and compared with TDS and BUG,the efficiency and scalability of hybrid method are greatly improved.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016135/cloud computingsub-tree anonymousbig datageneralizationspecializationmapping simplification |
| spellingShingle | Xiaofeng FAN Feng YAN Yang LIU Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud Dianxin kexue cloud computing sub-tree anonymous big data generalization specialization mapping simplification |
| title | Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud |
| title_full | Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud |
| title_fullStr | Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud |
| title_full_unstemmed | Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud |
| title_short | Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud |
| title_sort | hybrid k anonymity approach based on tds and bug under the environment of big data cloud |
| topic | cloud computing sub-tree anonymous big data generalization specialization mapping simplification |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016135/ |
| work_keys_str_mv | AT xiaofengfan hybridkanonymityapproachbasedontdsandbugundertheenvironmentofbigdatacloud AT fengyan hybridkanonymityapproachbasedontdsandbugundertheenvironmentofbigdatacloud AT yangliu hybridkanonymityapproachbasedontdsandbugundertheenvironmentofbigdatacloud |