Brain Signals as a New Biometric Authentication Method Using Brain-Computer Interface

Kolivand, Hoshang

doi:10.1007/978-3-319-08234-9_370-1

Cited by 3 publications

(4 citation statements)

References 35 publications

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“…But, there are some weaknesses in these biometrics [18]. For example, fingerprints can be replicated through latex milk, plastic mold and wood glue [19]; a fingerprint made by a 2D picture from a normal printer [20]; high-resolution Table 1 Typical biometric methods advantages and disadvantages [1] Biometric advantages and disadvantages…”

Section: Brain-based Authenticationmentioning

confidence: 99%

“…Biometric authentications are the most secure methods that we are using nowadays. Besides all of the great advantages of the recent biometric methods, they still have some weaknesses and issues [1] which brainwave authentication can cover those.…”

Section: Introductionmentioning

confidence: 99%

“…Types of brainwaves and their frequency rates and mental state situation[1] This means that they cannot be replaced and a new eye or finger cannot be grown again or face volitionally cannot be changed. We need a biometric more secure than any of these, which would be more difficult to replicate, and it would be cancellable.…”

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confidence: 99%

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SaS-BCI: a new strategy to predict image memorability and use mental imagery as a brain-based biometric authentication

Yousefi

Kolivand

Baker

2020

Neural Comput & Applic

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Security authentication is one of the most important levels of information security. Nowadays, human biometric techniques are the most secure methods for authentication purposes that cover the problems of older types of authentication like passwords and pins. There are many advantages of recent biometrics in terms of security; however, they still have some disadvantages. Progresses in technology made some specific devices, which make it possible to copy and make a fake human biometric because they are all visible and touchable. According to this matter, there is a need for a new biometric to cover the issues of other types. Brainwave is human data, which uses them as a new type of security authentication that has engaged many researchers. There are some research and experiments, which are investigating and testing EEG signals to find the uniqueness of human brainwave. Some researchers achieved high accuracy rates in this area by applying different signal acquisition techniques, feature extraction and classifications using Brain–Computer Interface (BCI). One of the important parts of any BCI processes is the way that brainwaves could be acquired and recorded. A new Signal Acquisition Strategy is presented in this paper for the process of authorization and authentication of brain signals specifically. This is to predict image memorability from the user’s brain to use mental imagery as a visualization pattern for security authentication. Therefore, users can authenticate themselves with visualizing a specific picture in their minds. In conclusion, we can see that brainwaves can be different according to the mental tasks, which it would make it harder using them for authentication process. There are many signal acquisition strategies and signal processing for brain-based authentication that by using the right methods, a higher level of accuracy rate could be achieved which is suitable for using brain signal as another biometric security authentication.

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Section: Brain-based Authenticationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SaS-BCI: a new strategy to predict image memorability and use mental imagery as a brain-based biometric authentication

Yousefi

Kolivand

Baker

2020

Neural Comput & Applic

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“… Communication: BCIs can be used to assist individuals with disabilities to communicate, such as those with locked-in syndrome, cerebral palsy, or amyotrophic lateral sclerosis (ALS) [45][46][47]. By interpreting the user's brain signals, BCIs can help individuals with limited or no physical movement to communicate through a computer or other devices.…”

Section: Applications Of Bcismentioning

confidence: 99%

Brain Computer Interfaces: The Future of Communication Between the Brain and the External World

ALMofleh,

Alseddiqi,

Najam

et al. 2023

Sci. Eng. Technol.

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This paper provides a comprehensive review of the current state of research on Brain Computer Interfaces (BCIs) and their potential applications. The objective of this study was to gather information from various sources, including journal articles, conference papers, and books, to analyze the advancements and limitations of BCIs. A systematic literature review was conducted using databases such as PubMed, IEEE Xplore, and Google Scholar, with specific keywords related to BCIs and their applications. The selected studies were thoroughly analyzed to identify common themes, methodologies, and key findings. The main contributions of this review include an overview of different types of BCIs, their applications in fields such as medicine, entertainment, and education, and the challenges and limitations faced by BCI technology. The findings highlight the potential of BCIs in restoring motor function, improving the quality of life for individuals with various conditions, and enhancing human-technology interaction. Furthermore, the review identifies future research directions, including signal processing improvements, exploring hybrid and multimodal approaches, conducting long-term real-world studies, addressing ethical considerations, and prioritizing user-centred design. This comprehensive analysis of existing literature provides valuable insights for researchers and practitioners in the field of BCIs and sets the stage for future advancements in this rapidly evolving domain.

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A New Solution to the Brain State Permanency for Brain-Based Authentication Methods

Yousefi

Kolivand

2021

2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)

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Brain Signals as a New Biometric Authentication Method Using Brain-Computer Interface

Cited by 3 publications

References 35 publications

SaS-BCI: a new strategy to predict image memorability and use mental imagery as a brain-based biometric authentication

SaS-BCI: a new strategy to predict image memorability and use mental imagery as a brain-based biometric authentication

Brain Computer Interfaces: The Future of Communication Between the Brain and the External World

A New Solution to the Brain State Permanency for Brain-Based Authentication Methods

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