Research on Plaintext Restoration of AES Based on Neural Network
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Known plaintext attack is a common attack method in cryptographic attack.
For ciphertext, only known part of the plaintext but unknown key, how to restore the rest of the plaintext is an important part of the known plaintext attack.
This paper uses backpropagation neural networks to perform cryptanalysis on AES in an attempt to restore plaintext.
The results show that the neural network can restore the entire byte with a probability of more than 40%, restoring more than half of the plaintext bytes with a probability of more than 63% and restoring more than half of the bytes above 89%.
American Psychological Association (APA)
Hu, Xinyi& Zhao, Yaqun. 2018. Research on Plaintext Restoration of AES Based on Neural Network. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214310
Modern Language Association (MLA)
Hu, Xinyi& Zhao, Yaqun. Research on Plaintext Restoration of AES Based on Neural Network. Security and Communication Networks No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1214310
American Medical Association (AMA)
Hu, Xinyi& Zhao, Yaqun. Research on Plaintext Restoration of AES Based on Neural Network. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214310