Securing Cloud Data using Face Recognition and Deep Learning
B.Konda Reddy1, Ch.Nikhil2, Manoj Kolluri3, K.Ruth Ramya4, Venkata Naresh Mandhala5

1B. Konda Reddy, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
2Ch. Nikhil, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
3Manoj Kolluri, Department of Electronics and Computer Science Engineering, Koneru Lakshmaiah Educationl Foundation, Guntur (A.P), India.
4K. Ruth Ramya, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
5Venkata Naresh Mandhala, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.

Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1857-1863 | Volume-8 Issue-4, April 2019 | Retrieval Number: D7006048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In this paper, we propose the face recognition using deep learning approach. Face recognition is used to determine an individual and for authentication purpose, face recognition is used to catch criminals and any approach used for face recognition is not 100% accurate. The main problem of face recognition is intensity, illumination, pose. During this paper the peace of mind and protection to the cloud data is well-found by scrambling the cloud data with human face as a key. The human face can encipher the cloud data that present within the cloud.
Keywords: Cloud Storage, face recognition, Binary Signal

Scope of the Article: Deep Learning