Survey of Big Data Information Security
Today the information security (IS) of data mining is the crucial and comprehensive issue for organizations of the different spheres and size. The main challenges of Big Data are management of large amounts of heterogeneous information and providing its availability. Big Data protection against unau...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Joint Stock Company "Experimental Scientific and Production Association SPELS
2016-06-01
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| Series: | Безопасность информационных технологий |
| Subjects: | |
| Online Access: | https://bit.mephi.ru/index.php/bit/article/view/82 |
| _version_ | 1827848172300402688 |
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| author | Aida Tofikovna Makhmudova Natalia Georgievna Miloslavskaya |
| author_facet | Aida Tofikovna Makhmudova Natalia Georgievna Miloslavskaya |
| author_sort | Aida Tofikovna Makhmudova |
| collection | DOAJ |
| description | Today the information security (IS) of data mining is the crucial and comprehensive issue for organizations of the different spheres and size. The main challenges of Big Data are management of large amounts of heterogeneous information and providing its availability. Big Data protection against unauthorized access and corruption (keeping its confidentiality and integrity) and availability maintenance form the key research priorities in this field. The issues related to providing these Big Data features are considered in the paper. The existing approaches to their solution are analyzed. Also some concepts for their improvement while designing the secure Big Data mining algorithm are formulated in accordance to IS properties. |
| first_indexed | 2024-03-12T09:43:12Z |
| format | Article |
| id | doaj.art-684d2751de35458aa44b616518dfbfd9 |
| institution | Directory Open Access Journal |
| issn | 2074-7128 2074-7136 |
| language | English |
| last_indexed | 2024-03-12T09:43:12Z |
| publishDate | 2016-06-01 |
| publisher | Joint Stock Company "Experimental Scientific and Production Association SPELS |
| record_format | Article |
| series | Безопасность информационных технологий |
| spelling | doaj.art-684d2751de35458aa44b616518dfbfd92023-09-02T13:06:05ZengJoint Stock Company "Experimental Scientific and Production Association SPELSБезопасность информационных технологий2074-71282074-71362016-06-01232647282Survey of Big Data Information SecurityAida Tofikovna Makhmudova0Natalia Georgievna Miloslavskaya1National Nuclear Research University MEPHINational Nuclear Research University MEPHIToday the information security (IS) of data mining is the crucial and comprehensive issue for organizations of the different spheres and size. The main challenges of Big Data are management of large amounts of heterogeneous information and providing its availability. Big Data protection against unauthorized access and corruption (keeping its confidentiality and integrity) and availability maintenance form the key research priorities in this field. The issues related to providing these Big Data features are considered in the paper. The existing approaches to their solution are analyzed. Also some concepts for their improvement while designing the secure Big Data mining algorithm are formulated in accordance to IS properties.https://bit.mephi.ru/index.php/bit/article/view/82information securitybig datadata mining |
| spellingShingle | Aida Tofikovna Makhmudova Natalia Georgievna Miloslavskaya Survey of Big Data Information Security Безопасность информационных технологий information security big data data mining |
| title | Survey of Big Data Information Security |
| title_full | Survey of Big Data Information Security |
| title_fullStr | Survey of Big Data Information Security |
| title_full_unstemmed | Survey of Big Data Information Security |
| title_short | Survey of Big Data Information Security |
| title_sort | survey of big data information security |
| topic | information security big data data mining |
| url | https://bit.mephi.ru/index.php/bit/article/view/82 |
| work_keys_str_mv | AT aidatofikovnamakhmudova surveyofbigdatainformationsecurity AT nataliageorgievnamiloslavskaya surveyofbigdatainformationsecurity |