Map Reduced Based: A New Stream Cipher Technique for Data Encryption 
Galal A. AL-Rummana1, G. N. Shinde2, Abdulrazzaq H. A. Al-Ahdal3
1Galal A. AL-Rummana *, School of Computational Sciences, S.R.T.M. University, Nanded, India.
2G. N. Shinde, Yeshwant College, Nanded, Maharashtra, India.
3Abdulrazzaq H. A. Al-Ahdal, School of Computational Sciences, S.R.T.M. University, Nanded, India.
Manuscript received on May 30, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 763-769 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9394069520/2020©BEIESP | DOI: 10.35940/ijeat.E9394.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays, data keeps increasing; this in turn makes big data one of the hot topics in the modern era of technology. The biggest challenge, however, is big data security and cryptography is one of the most secure techniques. In this proposed model, we use this technique to secure data via a proposed new stream cipher technique to process more than one block by dividing the total size of the block into two parts, and swapping them then, combine and apply XOR operation with key and make some of mathematical operation. This operation is of fifteen rounds which make it very difficult for attacks to guess the plaintext.
Keywords: Big data, Encryption, Cryptography, Stream cipher, Security, Hadoop, MapReduce.