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As a result, the demand of discovering knowledge from the bigdata by using tools such as statistical analysis and data mining naturally become higher. Using MapReduce a software framework introduced by Google in 2004 to implement computations on clusters of commodity computers is an economical solution. However, malicious MapReduce framework or source codes can leak the sensitive data through computation process. An approach which giving user the least privilege on MapReduce-based system can solve the problem. Therefore, in our research, we propose a MapReduce-based system limiting the access to system resource by using SELinux. Moreover, noise were added to the output of the Reduce to ensure the computational result can not signal the presence of a sensitive data. Our prototype implementation demonstrates the efficiency of preserving privacy on several cases.", "subitem_description_type": "Abstract"}]}, "item_7_full_name_3": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "8169", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "\u30c1\u30e3\u30f3, \u30af\u30ef\u30f3"}]}]}, "item_7_select_21": {"attribute_name": "\u5b66\u4f4d", "attribute_value_mlt": [{"subitem_select_item": "master"}]}, "item_7_subject_13": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "007", "subitem_subject_scheme": "NDC"}]}, "item_7_text_24": {"attribute_name": "\u7814\u7a76\u79d1\u30fb\u5c02\u653b", "attribute_value_mlt": [{"subitem_text_value": "\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u6c17\u7cfb\u5de5\u5b66\u5c02\u653b"}]}, "item_7_text_36": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Thesis"}]}, "item_7_text_4": {"attribute_name": "\u8457\u8005\u6240\u5c5e", "attribute_value_mlt": [{"subitem_text_value": "\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u6c17\u7cfb\u5de5\u5b66\u5c02\u653b"}, {"subitem_text_value": "Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Tran, Quang"}], "nameIdentifiers": [{"nameIdentifier": "8168", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-05-31"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "37106530.pdf", "filesize": [{"value": "674.5 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 674500.0, "url": {"label": "37106530.pdf", "url": "https://repository.dl.itc.u-tokyo.ac.jp/record/3397/files/37106530.pdf"}, "version_id": "3a637d5c-cdf3-44d6-a128-85f3e9602763"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "thesis", "resourceuri": "http://purl.org/coar/resource_type/c_46ec"}]}, "item_title": "A Solution For Privacy Protection In MapReduce", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "A Solution For Privacy Protection In MapReduce"}]}, "item_type_id": "7", "owner": "1", "path": ["9/233/234", "6/209/271"], "permalink_uri": "http://hdl.handle.net/2261/51629", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2012-05-18"}, "publish_date": "2012-05-18", "publish_status": "0", "recid": "3397", "relation": {}, "relation_version_is_last": true, "title": ["A Solution For Privacy Protection In MapReduce"], "weko_shared_id": null}