Design and analysis on a parallel chaos-based Hash function Liu, Zhuo, Wang, Yong, Jiang, Gongkun and Zhang, Leo Yu 2020, Design and analysis on a parallel chaos-based Hash function, International Journal of Bifurcation and Chaos, vol. 30, no. 13, doi: 10.1142/S0218127420501886. Attached Files Name Description MIMEType Size Downloads Title Design and analysis on a parallel chaos-based Hash function Author(s) Liu, Zhuo Wang, Yong Jiang, Gongkun Zhang, Leo Yu orcid.org/0000-0001-9330-2662 Journal name International Journal of Bifurcation and Chaos Volume number 30 Issue number 13 Article ID 2050188 Publisher World Scientific Publishing Co. Place of publication Singapore Publication date 2020-10-01 ISSN 0218-1274 1793-6551 Keyword(s) Hash function chaos chaos-based cipher parallel processing security communication Summary The inherent random-like behavior and one-way property of iteration in chaotic systems provide a good basis for designing Hash function. In the era of big data, due to the increasing data capacity in applications, fast Hash functions with parallel mode are highly desirable when authenticating data integrity. We analyze the issue of how to parallelize Hash function with iterative structure. Some security requirements on parallel Hash function are presented. In addition, using chaotic map and block cipher, we construct a keyed parallel Hash function. The message blocks are firstly processed in parallel by a DM-like structure. Furthermore, a tree mode with chaotic map is utilized to combine the outputs of the hash round function in parallel. The proposed Hash function is analyzed by theory and tested by computer simulations. The test results show that the proposed scheme can resist the various common attacks against Hash functions. It satisfies the secure performance requirements of Hash function. Owing to the usage of the parallel mode to process messages, the proposed chaos-based Hash function possess high efficiency and has high potential in applications to guarantee data integrity on a parallel computing platform. Language eng DOI 10.1142/S0218127420501886 Indigenous content off Field of Research 0102 Applied Mathematics 0103 Numerical and Computational Mathematics 0913 Mechanical Engineering HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2020, World Scientific Publishing Co. Persistent URL http://hdl.handle.net/10536/DRO/DU:30145712 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 24 Nov 2020, 14:19:46 EST Wed, 25 Nov 2020, 04:01:38 EST Wed, 25 Nov 2020, 05:04:45 EST Thu, 26 Nov 2020, 09:46:13 EST Thu, 26 Nov 2020, 09:51:20 EST Thu, 26 Nov 2020, 09:53:16 EST Thu, 26 Nov 2020, 09:54:23 EST Sat, 09 Jan 2021, 01:36:13 EST Tue, 16 Feb 2021, 13:29:37 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 61 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 24 Nov 2020, 14:19:46 EST

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