کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410534 | 679149 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Parallel keyed hash function construction based on chaotic neural network
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
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چکیده انگلیسی
Recently, various hash functions based on chaos or neural networks were proposed. Nevertheless, none of them works efficiently in parallel computing environment. In this paper, an algorithm for parallel keyed hash function construction based on chaotic neural network is proposed. The mechanism of changeable-parameter and self-synchronization establishes a close relation between the hash value bit and message, and the algorithm structure ensures the uniform sensitivity of the hash value to the message blocks at different positions. The proposed algorithm can satisfy the performance requirements of hash function. These properties make it a promising choice for hashing on parallel computing platform.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 10–12, June 2009, Pages 2288–2296
Journal: Neurocomputing - Volume 72, Issues 10–12, June 2009, Pages 2288–2296
نویسندگان
Di Xiao, Xiaofeng Liao, Yong Wang,