A Secure Multimodal Biometric Verification Scheme

Author(s):  
Dongmei Sun ◽  
Qiang Li ◽  
Tong Liu ◽  
Bing He ◽  
Zhengding Qiu

Biometric verification of has turned out to be progressively well known as of late. With the improvement of cloud computing, database owners are enthused to outsource the enormous size of biometric information and verification activity to the cloud to dispose of the costly capacity and calculation costs, which anyway carries potential dangers to clients' security. This article presents an proficient and protection saving biometric verification outsourcing plan. In particular, the biometric information is encoded and redistributed to the cloud server. To execute a biometric verification, the database owner encodes the query information and submits it to the cloud. The cloud performs verification tasks over the encoded database and returns the outcome to the database owner. A careful security examination shows the proposed plan is secure regardless of whether aggressors can produce verification demands and intrigue with the cloud. Contrasted and past conventions, trial results demonstrate the proposed plan accomplishes a better presentation in both preparation and verification systems.


2008 ◽  
Vol 67 (19) ◽  
pp. 1777-1790 ◽  
Author(s):  
C. Cruz-Ramos ◽  
R. Reyes-Reyes ◽  
J. Mendoza-Noriega ◽  
Mariko Nakano-Miyatake ◽  
Hector Manuel Perez-Meana

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2859
Author(s):  
Seong-Yun Jeon ◽  
Mun-Kyu Lee

With the recent advances in mobile technologies, biometric verification is being adopted in many smart devices as a means for authenticating their owners. As biometric data leakage may cause stringent privacy issues, many proposals have been offered to guarantee the security of stored biometric data, i.e., biometric template. One of the most promising solutions is the use of a remote server that stores the template in an encrypted form and performs a biometric comparison on the ciphertext domain, using recently proposed functional encryption (FE) techniques. However, the drawback of this approach is that considerable computation is required for the inner-pairing product operation used for the decryption procedure of the underlying FE, which is performed in the authentication phase. In this paper, we propose an enhanced method to accelerate the inner-pairing product computation and apply it to expedite the decryption operation of FE and for faster remote biometric verification. The following two important observations are the basis for our improvement—one of the two arguments for the decryption operation does not frequently change over authentication sessions, and we only need to evaluate the product of multiple pairings, rather than individual pairings. From the results of our experiments, the proposed method reduces the time required to compute an inner-pairing product by 30.7%, compared to the previous best method. With this improvement, the time required for biometric verification is expected to decrease by up to 10.0%, compared to a naive method.


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