The Fuzzy Engine for Random Number Generator in Crypto Module

Abstract

Ubiquitous computing raises security issues and a crypto card extend computing to physical spaces. Especially, a crypto module is a small computer in credit card format with no man machine interface. Some crypto module’s microprocessors use a random number generator(RNG) and cryptographic processors. Cryptographic procedures always require random numbers. A crypto card requires random numbers for key generation to authenticate the card and for encryption. Random numbers that cannot be predicted or influenced guarantee the security and the ideal solution is a H/W RNG in the crypto module’s microcontroller. Critical cryptography applications require the production of an unpredictable and unbiased stream of binary data derived from a fundamental noise mechanism, which is quite difficult to create with a stable random bit stream, as required for statistical randomness, when using a random generator with only a hardware component. Accordingly, this paper proposes a method for stabilizing the input power of a random number generator using fuzzy logic control in crypto module hardware. As such, the proposed scheme is designed to reduce the statistical property of a biased bit stream and optimize the input power to a random number generator engine in a crypto module engine for ubiquitous computing.