Quality Analysis of Pseudorandom Number Generator Using Rough Sets
This In this paper, a rough sets based analyzing system for Pseudorandom Number Generator (PRNG) is proposed to analyze the quality of the pseudorandom number generators. The strength of the cryptosystem relied on the quality of PRNGs. In particular, their outputs must be unpredictable in the absence of knowledge of the inputs and the input can not be guessed. On the other hand, the advance in computer science and technology let to produce the sufficient amount of sequence numbers of all possible input (seeds) and can be stored in a database. By means of the rough set approach, the input (seeds) can be guessed from those databases, using the known output sequence. So, the quality analysis of the (PRNGs) and a simple rule based prediction system is presented in this paper and the design of generators is outside the scope of this paper.
seed pseudorandom sequence search approach data mining decision rule
Aye Myat Nyo Chaw Yupar Soe May Mar Oo Thein Than Thwin Zar Lwin Phyo Aye Thida Than Naing Soe
University of Computer Studies Mandalay, Myanmar Technical University (Hmawbi) Yangon, Myanmar
国际会议
上海
英文
338-342
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）