The Cryptographic Algorithm Identification: Using Deep Learning to Empower Smart Grids
Author:
Affiliation:
1. State Grid Jiangxi Electric Power Co., Ltd., China
2. China Electric Power Research Institute Co., Ltd., China
3. University of Electronic Science and Technology of China, China
Funder
the science and technology project of State Grid Corporation of China ?Power system oriented cryptographic application testing technology research and tool development?
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3662739.3663379
Reference13 articles.
1. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
2. Smart Grid Technologies: Communication Technologies and Standards
3. N. M. Mallaboyev, , “Information Security Issues,” Conference Zone, pp. 241-245, May 2022.
4. NIST randomness test method and its application;Zhang Y.;Computer Knowledge and Technology,2014
5. On the interpretation of results from the NIST statistical test suite;Marton K.;Science and Technology,2015
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