DocumentCode
2721079
Title
Data Encryption Using Event-related Brain Signals
Author
Ravi, K.V.R. ; Palaniappan, R. ; Eswaran, C. ; Phon-Amnuaisuk, S.
Volume
1
fYear
2007
fDate
13-15 Dec. 2007
Firstpage
540
Lastpage
544
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location
Sivakasi, Tamil Nadu
Print_ISBN
0-7695-3050-8
Type
conf
DOI
10.1109/ICCIMA.2007.178
Filename
4426635
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