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Volume & Issue no: Volume 3, Issue 4, July - August 2014

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Title:
Artificial Immune System Approach for Access Control Based on EEG Signals
Author Name:
Wael H. Khalifa, Abdel Badeeh M. Salem and Mohamed I. Roushdy
Abstract:
Abstract: Access control is one of the main issues facing companies and people; Whether it’s a physical location or sensitive data, finding secure means to manage access control is always a challenge. Electroencephalogram (EEG) is the recording of electrical activity from the surface of the brain. Researchers has showed that there is individuality in the EEG signals, accordingly its can be used as a biometric for access control. In this paper, we present an artificial immune system inspired approach for access control using EEG signals. The Physionet EEG Motor/Movement/ Imagery dataset is used to validate this approach. The dataset consists of signals for over a hundred users. The dataset is imported to EEG lab for the preprocessing phase, then we use artificial immune system based algorithm for user matching. The algorithm yielded to a 40% accuracy, we will discuss in the paper why that happened and how to improve the accuracy. Keywords: EEG, Access Control, Security, Artificial Immune System.
Cite this article:
Wael H. Khalifa, Abdel Badeeh M. Salem and Mohamed I. Roushdy , " Artificial Immune System Approach for Access Control Based on EEG Signals" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 4, July - August 2014 , pp. 001-005 , ISSN 2278-6856.
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NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week. 

 

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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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