User authentication system based specified brain waves. (3rd July 2020)

• Record Type: Journal Article
• Authors: Abed, Sawsan S.; Abed, Zainab F.
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 23:Number 5(2020)
• Page Start: 1021
• Page End: 1024
• Publication Date: 2020-07-03
• Subjects: Primary LOK -- Security system -- Galois; Security System -- EEG -- LFSR -- G-LFSR; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2019.1700920
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: A security system can be defined as a method of providing a form of protection to any type of data. A sequential process must be performed in most of the security systems in order to achieve good protection. Authentication can be defined as a part of such sequential processes, which is utilized in order to verify the user permission to entree and utilize the system. There are several kinds of methods utilized, including knowledge, and biometric features. The electroencephalograph (EEG) signal is one of the most widely signal used in the bioinformatics field. EEG has five major wave patterns, which are Delta, Theta, Alpha, Beta and Gamma. Every wave has five features which are amplitude, wavelength, period, speed and frequency. The linear feedback shift-register(LFSR) is a widely used tool for generating cryptographic sequences like Galois, Fibonacci. In this paper authentication system is designed using the specified brain waves which are Gamma and Betta wave's features in order to generate the user authenticated sequence using Galois LFSRs.