Title :
Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher
Author :
Arvandi, M. ; Sadeghian, A.
Author_Institution :
Ryerson Univ., Toronto
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 :
cryptography; neural nets; chosen plaintext attack; neural network-based symmetric cipher; Chaos; Cryptography; Data security; Information security; Neural networks; Neurons; Parallel processing; Recurrent neural networks; Signal design; Supervised learning;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371068
