Security analysis for key generation systems using face images

In this paper, we analyze the security problem of user information associated key generation (UIAKG) systems. We consider three kinds of attacks from the hacker: the exhaustive search attack, the authentic key statistics attack and the device key statistics attack. Under each attack, we give the est...

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Bibliographic Details
Main Authors: Wende Zhang, Cha Zhang, Tsuhan Chen
Format: Conference Proceeding
Language:English
Subjects:
Application software
Applied sciences
Artificial intelligence
Biometrics
Computer hacking
Computer science
control theory
systems
Computer security
Cryptography
Exact sciences and technology
Guidelines
Image analysis
Information security
Lungs
Memory and file management (including protection and security)
Memory organisation. Data processing
Pattern recognition. Digital image processing. Computational geometry
Software
Statistics
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Description
Summary:In this paper, we analyze the security problem of user information associated key generation (UIAKG) systems. We consider three kinds of attacks from the hacker: the exhaustive search attack, the authentic key statistics attack and the device key statistics attack. Under each attack, we give the estimate of the number of guesses the hacker has to make in order to access the system. Such analysis provides useful guidelines in designing a UIAKG system. The analysis also suggests that a user-dependent UIAKG is more secure than a user-independent one. Two UIAKG systems using face images as inputs are designed and compared to support the above theoretical analysis.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2004.1421858