The main intention of this paper is develop a technique for privacy preserving-aware over big data in clouds using variation step size firefly algorithm and MapReduce framework. This paper consists of two phases such as MapReduce phase and evaluation phase. In MapReduce phase, at first we split the big data into a number of maps. After that, we apply the convolution process to the dataset and create a new kernel matrix. Once the convolution process is over, the privacy-persevering framework over big data in cloud systems is performed based on the evaluation phase. In evaluation module, the neural network is trained based on the optimal weight and radial basis function neural network algorithm, which is improving the utility of the privacy data. After that, a MapReduce framework is to protect the private information. Finally, the reduced privacy data are stored in the computer service provider. In this big data experiment, we used census income KDD dataset to evaluate the result.
Wireless Personal Communications – Springer Journals
Published: Aug 16, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera