Chaos based PN sequence generator for cryptographic applications
Musheer Ahmad, Omar Farooq · 2011
Strength of cryptographic cipher depends on the statistical performance of its generated keystream. Generation of high quality keystream is a challenging task, which decides the level of security offered by the cipher. A lot of key generation techniques based on linear feedback shift registers for stream ciphering have been suggested in the literature. In this paper, the features of one-dimensional chaotic systems are exploited to construct a PN sequence generator. The integration of chaotic Logistic maps and Cubic maps is done in novel manner to generate strong cryptographic sequence. The proposed system includes the preprocessing and quantization of the real-valued chaotic sequences. The statistical performance of the proposed generator is performed which ascertain that the generated PN sequence has noise-like characteristics. In addition, it is also examined that the proposed chaos-based generator has better statistical and encryption performance than the existing LFSR-based generator.