Hybrid security analysis based on intelligent adaptive learning in Big Data
| Title | Hybrid security analysis based on intelligent adaptive learning in Big Data |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Sasubilli, S. M., Dubey, A. K., Kumar, A. |
| Conference Name | 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE) |
| Date Published | June 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-6362-8 |
| Keywords | adaptive learning, Big Data, big data security in the cloud, cloud, cloud computing, Collaboration, composability, compositionality, Computational Intelligence, cryptography, data management, Data security, Intelligent Analytics, intelligent data, Market research, pubcrawl, security |
| Abstract | Big data provides a way to handle and analyze large amount of data or complex set. It provides a systematic extraction also. In this paper a hybrid security analysis based on intelligent adaptive learning in big data has been discussed with the current trends. This paper also explores the possibility of cloud computing collaboration with big data. The advantages along with the impact for the overall platform evaluation has been discussed with the traditional trends. It has been useful in the analysis and the exploration of future research. This discussion also covers the computational variability and the connotation in terms of data reliability, availability and management in big data with data security aspects. |
| URL | https://ieeexplore.ieee.org/document/9155049 |
| DOI | 10.1109/ICACCE49060.2020.9155049 |
| Citation Key | sasubilli_hybrid_2020 |