Title :
Data Encryption Using Event-related Brain Signals
Author :
Ravi, K.V.R. ; Palaniappan, R. ; Eswaran, C. ; Phon-Amnuaisuk, S.
Abstract :
A method based on event-related brain signal is used for data encryption. The idea is to shuffle the Huffman tree using an encryption key generated by electroencephalogram (EEG) signals recorded when the user perceives a common black and white line picture. As different persons have different thought processes, the generated key is unique to each individual and hence the encryption is robust to fraudulent attacks as compared to other encryption systems. Further, as Huffman tree is used to encode the data during encryption, the method achieves both compression and encryption. This pilot study has shown the huge potential of the method as it is impossible to be compromised.
Keywords :
Biometrics; Communications technology; Computational intelligence; Cryptography; Electroencephalography; Fingerprint recognition; Information analysis; Information technology; Iris; Signal analysis;
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
DOI :
10.1109/ICCIMA.2007.178