Name
Abstract | ||
|---|---|---|
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 IT 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) as well as 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. Some concepts for their improvement while designing the secure Big Data mining algorithm are formulated in accordance to IS properties. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/W-FiCloud.2016.38 | 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) |
Keywords | Field | DocType |
information security,big data,data mining | Confidentiality,Big data mining,Computer security,Computer science,Information security,Big data,Corruption | Conference |
ISBN | Citations | PageRank |
978-1-5090-3947-0 | 2 | 0.40 |
References | Authors | |
15 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Natalia Miloslavskaya | 1 | 44 | 22.18 |
| Aida Makhmudova | 2 | 2 | 0.40 |