JOURNAL ARTICLE
Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher
Year: 2007 Journal: IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks Vol: 2 Pages: 847-851 Publisher: Institute of Electrical and Electronics Engineers
Abstract
In this paper the security of neural network-based symmetric ciphers (M. Arvandi et al., 2006) is analyzed. The vulnerability of such ciphers against chosen plaintext attacks is studied and a possible attack is mathematically presented.
Keywords:
Computer science Plaintext Cipher Artificial neural network Vulnerability (computing) Symmetric-key algorithm Computer security Theoretical computer science Encryption Public-key cryptography Artificial intelligence
Metrics
11
Cited By
0.45
FWCI (Field Weighted Citation Impact)
20
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Neural Networks and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Chaos-based Image/Signal Encryption
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Adversarial Robustness in Machine Learning
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
PROTECTING CIPHER BLOCK CHAINING AGAINST ADAPTIVE CHOSEN PLAINTEXT ATTACK
Year: 2006 Pages: 135-140
BOOK-CHAPTER
Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher
Chengqing LiShujun LiDan ZhangGuanrong Chen
Lecture notes in computer science Year: 2005 Pages: 630-636