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Application of face image detection based on deep learning in privacy security of intelligent cloud platform

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Abstract

The application of deep learning-based face detection in the privacy and security of intelligent cloud platforms is studied, in order to resolve the risk of private photo leakage on such platforms. Five key feature points of human faces (two eyes, two noses and two corners of mouth) are sought using the multitask cascaded convolution network (MTCNN). The algorithm utilizes the intrinsic links among Proposal Network (P-Net), Refine Network (R-Net) and Output Network (O-Net) to improve their face detection performances substantially. Since many existing data encryption methods, such as DES, RSA and AES, are applicable only to test data instead of digital images, the encryption of eigenvalues is achieved with a combination of chaotic logic diagrams and RC4 stream ciphers. Meanwhile, the MTCNN-generated face coordinates and user passwords are hash-converted and double-encrypted using hash table. The results show that the face detection accuracy of MTCNN reaches 95.04%, and that the image encryption method is suitable for network transmission. The chaotic logic diagrams increase the security of S-box initialization in the RC4 algorithm. The hash structure accelerates the file reading, whereas the hash conversion improves the security of critical data. In conclusion, the proposed encryption scheme is computationally fast and highly secure.

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Acknowledgments

This work was supported by the Science and Technology Project of Guangdong Province (2016A050502066, 2017B010132001) and Guangdong Natural Science Foundation (2018A030313492).

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Authors and Affiliations

  1. College of Electrical Engineering & Intelligentization, Dong Guan University of Technology, Dong Guan, 523808, China

    Xiaofang Zhao, Shengxin Lin & Chunping Liao

  2. College of Computer and Network Security, Dong Guan University of Technology, Dong Guan, 523808, China

    Xuefang Chen & Chaochao Ou

  3. College of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, 518061, China

    Chaochao Ou

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  1. Xiaofang Zhao
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  2. Shengxin Lin
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  3. Xuefang Chen
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  4. Chaochao Ou
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  5. Chunping Liao
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Correspondence to Xuefang Chen.

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Zhao, X., Lin, S., Chen, X. et al. Application of face image detection based on deep learning in privacy security of intelligent cloud platform. Multimed Tools Appl 79, 16707–16718 (2020). https://doi.org/10.1007/s11042-019-08014-0

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