Deep Learning Security Systems
C. Rajeev1, K. Kumar Swamy2
1C. Rajeev, Assistant Professor, Department of Computer Science and Engineering, India.
2K. Kumar Swamy, Malla Reddy Engineering College for Women, Maisammaguda, Hyderabad (Telangana), India.
Manuscript received on 30 September 2019 | Revised Manuscript received on 12 November 2019 | Manuscript Published on 22 November 2019 | PP: 1823-1826 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13470986S319/19©BEIESP | DOI: 10.35940/ijeat.F1347.0986S319
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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 (

Abstract: Big Data Analytics and Deep Learning are not supposed to be two entirely different concepts. Big Data means extremely huge large data sets that can be analyzed to find patterns, trends. One technique that can be used for data analysis so that able to help us find abstract patterns in Big Data is Deep Learning. If we apply Deep Learning to Big Data, we can find unknown and useful patterns that were impossible so far. With the help of Deep Learning, AI is getting smart. There is a hypothesis in this regard, the more data, the more abstract knowledge. So a handy survey of Big Data, Deep Learning and its application in Big Data is necessary.
Keywords: Deep Learning, Bigdata, Artificial Intelligence.
Scope of the Article: Deep Learning