SECURITY ANALYSIS FOR KEY GENERATION SYSTEMS USING FACE IMAGES (WP-P7)

Author(s) : Wende Zhang (Carnegie Mellon University, USA) Cha Zhang (Carnegie Mellon University, USA) Tsuhan Chen (Carnegie Mellon University, USA)

Abstract : In this paper, we analyze the security problem of user informa-tion 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 sta-tistics 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.

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