Privacy preserving security using biometrics in cloud computing

被引:45
|
作者
Kumar, Santosh [1 ]
Singh, Sanjay Kumar [2 ]
Singh, Amit Kumar [3 ]
Tiwari, Shrikant [4 ]
Singh, Ravi Shankar [2 ]
机构
[1] IIIT Naya Raipur, CSE, Naya Raipur, Madhya Pradesh, India
[2] Indian Inst Technol BHU, Dept Comp Sci & Engn, Varanasi, Uttar Pradesh, India
[3] Jaypee Univ Informat Technol, Dept Comp Sci & Engn, Solan, Himachal Prades, India
[4] SSGI, Dept Comp Sci & Engn, Durg, Chattisgrah, India
关键词
Cloud computing; Security; Privacy Preservation; Face recognition; Biometrics identification; Encrypted Biometrics; Elliptical encryption; FACE-RECOGNITION; IDENTIFICATION; ISSUES;
D O I
10.1007/s11042-017-4966-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing and the efficient storage provide new paradigms and approaches designed at efficiently utilization of resources through computation and many alternatives to guarantee the privacy preservation of individual user. It also ensures the integrity of stored cloud data, and processing of stored data in the various data centers. However, to provide better protection and management of sensitive information (data) are big challenge to maintain the confidentiality and integrity of data in the cloud computation. Thus, there is an urgent need for storing and processing the data in the cloud environment without any information leakage. The sensitive data require the storing and processing mechanism and techniques to assurance the privacy preservation of individual user, to maintain the data integrity, and preserve confidentiality. Face recognition has recently achieved advancements in the unobtrusive recognition of individuals to maintain the privacy-preservation in the cloud computing. This paper emphasizes on cloud security and privacy issues and provides the solution using biometric face recognition. We propose a biometrics face recognition approach for security and privacy preservation of cloud users during their access to cloud resources. The proposed approach has three steps: (1) acquisition of face images (2) preprocessing and extraction of facial feature (3) recognition of individual using encrypted biometric feature. The experimental results establish that our proposed recognition approach can ensure the privacy and security of biometrics data.
引用
收藏
页码:11017 / 11039
页数:23
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