Efficient privacy-preserving face verification scheme

2021 ◽  
Vol 63 ◽  
pp. 103055
Author(s):  
Hai Huang ◽  
Luyao Wang
Keyword(s):  
Privacy Preserving ◽  
Face Verification ◽  
Verification Scheme

scholarly journals A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 16532-16538 ◽  
Author(s):  
Yukun Ma ◽  
Lifang Wu ◽  
Xiaofeng Gu ◽  
Jiaoyu He ◽  
Zhou Yang
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Homomorphic Encryption ◽  
Face Verification ◽  
Verification Scheme

scholarly journals Privacy Preserving Verification Scheme for Cloud Platform Using DML

2021 ◽  
Vol 1916 (1) ◽  
pp. 012154
Author(s):  
Sujaritha ◽  
D Akshara ◽  
A Ashfak Ahamed ◽  
V S Chandhini shri
Keyword(s):  
Privacy Preserving ◽  
Cloud Platform ◽  
Verification Scheme

scholarly journals A Privacy-Preserving Edge Computation-Based Face Verification System for User Authentication

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 14186-14197 ◽  
Author(s):  
Xiang Wang ◽  
Heyu Xue ◽  
Xuefeng Liu ◽  
Qingqi Pei
Keyword(s):  
User Authentication ◽  
Privacy Preserving ◽  
Face Verification ◽  
Verification System

scholarly journals An Effective Integrity Verification Scheme of Cloud Data Based on BLS Signature

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xiling Luo ◽  
Zequan Zhou ◽  
Lin Zhong ◽  
Jian Mao ◽  
Chaoyong Chen
Keyword(s):  
Data Privacy ◽  
Cloud Service ◽  
Privacy Preserving ◽  
Verification Scheme ◽  
Cloud Data ◽  
Integrity Verification ◽  
Main Challenge ◽  
Outsourced Data ◽  
Security Properties ◽  
Local Storage

Cloud storage services allow users to outsource their data remotely to save their local storage space and enable them to manage resources on demand. However, once users outsourced their data to the remote cloud platform, they lose the physical control of the data. How to ensure the integrity of outsourced data is the major concern of cloud users and also is the main challenge in the cloud service deployment. Limited by the communication and computation overheads, traditional hash-based integrity verification solutions in the stand-alone systems cannot be directly adopted in remote cloud storing environment. In this paper, we improve the previous privacy preserving model and propose an effective integrity verification scheme of cloud data based on BLS signature (EoCo), which ensures public audition and data privacy preserving. In addition, EoCo also supports batch auditing operations. We conducted theoretical analysis of our scheme, demonstrated its correctness and security properties, and evaluated the system performance as well.

Privacy Preserving Public Auditing in Secured Cloud Storage

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

Privacy-Preserving Fingerprint Authentication Resistant to Hill-Climbing Attacks

2018 ◽  
Vol E101.A (1) ◽  
pp. 138-148 ◽  
Author(s):  
Haruna HIGO ◽  
Toshiyuki ISSHIKI ◽  
Kengo MORI ◽  
Satoshi OBANA
Keyword(s):  
Privacy Preserving ◽  
Hill Climbing
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