Class-Distribution Preserving Transform for Face Biometric Data Security

2007 ◽  
Author(s):  
Y C Feng ◽  
Pong C Yuen
Keyword(s):  
Data Security ◽  
Biometric Data ◽  
Class Distribution ◽  
Face Biometric

Supreme Court view will shape data protection in India

2017 ◽  
Keyword(s):  
Supreme Court ◽  
Data Protection ◽  
Data Security ◽  
Search And Seizure ◽  
Same Sex ◽  
Biometric Data ◽  
Content Type ◽  
Individual Privacy ◽  
Civil Laws ◽  
Shape Data

Subject Supreme Court's verdict on the fundamental right to privacy. Significance A hearing that began in India’s Supreme Court on July 19 concerns petitions challenging the obligatory use of Aadhaar -- a unique national identity number anchored in biometric data. Following recent data breaches affecting telecoms companies, the Court’s approach to the question of individual privacy will have an effect on efforts to enhance data security in India. Impacts A new and large market will emerge for data protection consultancy. Criminal and civil laws on search and seizure operations will require amending. There may be renewed challenges to legislation criminalising same-sex relations.

Applying Technical Standards to Biometric Systems

2016 ◽  
Vol 8 (2) ◽  
pp. 50-59
Author(s):  
Milorad Milinković ◽  
Miroslav Minović ◽  
Miloš Milovanović
Keyword(s):  
Data Security ◽  
Privacy Protection ◽  
Data Exchange ◽  
International Organization ◽  
The Other ◽  
Security And Privacy ◽  
Technical Standards ◽  
Biometric Data ◽  
Biometric Systems ◽  
Common Problems

Nowadays, the development and the application of biometric systems on one hand, and the large number of hardware and software manufacturers on the other, caused two the most common problems of biometric systems: a problem of interoperability between system's components as well as between different biometric systems and a problem of biometric data security and privacy protection, both in storage and exchange. Specifications and standards, such as BioAPI and CBEFF, registered and published as multiple standards by ISO (International Organization for Standardization), propose the establishment of single platform (BioAPI) to facilitate the functioning of the biometric systems regardless of hardware or software manufacturers, and unique format for data exchange (CBEFF) to secure biometric data. In this paper, these standards are analyzed in detail and considered as possible solutions to aforementioned problems.

scholarly journals Masquerade Attack Analysis for Secured Face Biometric System

2021 ◽  
Vol 10 (2) ◽  
pp. 225-232
Author(s):  
Sanjeeva Kumar M. Hatture ◽  
◽  
Shweta Policepatil ◽  
Keyword(s):  
Hybrid Approach ◽  
Personal Identification ◽  
Biometric System ◽  
Biometric Data ◽  
Left Turn ◽  
Liveness Detection ◽  
Identity Based ◽  
Recognition Systems ◽  
Biometric Trait ◽  
Face Biometric

Biometrics systems are mostly used to establish an automated way for validating or recognising a living or nonliving person's identity based on physiological and behavioural features. Now a day’s biometric system has become trend in personal identification for security purpose in various fields like online banking, e-payment, organizations, institutions and so on. Face biometric is the second largest biometric trait used for unique identification while fingerprint is being the first. But face recognition systems are susceptible to spoof attacks made by nonreal faces mainly known as masquerade attack. The masquerade attack is performed using authorized users’ artifact biometric data that may be artifact facial masks, photo or iris photo or any latex finger. This type of attack in Liveness detection has become counter problem in the today's world. To prevent such spoofing attack, we proposed Liveness detection of face by considering the countermeasures and texture analysis of face and also a hybrid approach which combine both passive and active liveness detection is used. Our proposed approach achieves accuracy of 99.33 percentage for face anti-spoofing detection. Also we performed active face spoofing by providing several task (turn face left, turn face right, blink eye, etc) that performed by user on live camera for liveness detection.

Sign in / Sign up

Export Citation Format

Share Document