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

Abstract

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.

Towards Cognitive Authentication for Smart Healthcare Applications

“…It is observed and analyzed from previous research studies that high performance can be achieved from a well deployed and secure system [ 15 , 16 , 17 , 18 , 19 ], while with a more computational complex task(s) system a threshold is met due to more resources e.g., time consumption and longer delay. The authentication, balances between individual entities on one hand which on the other hand affects other parts of the system.…”

“…A strong presence of security level is a prioritization. A simple and less probes-based EEG system takes less computational power and results in compromised security, that is why not a potential candidate [ 15 , 16 , 17 , 18 , 19 , 20 ]. Researchers [ 21 , 22 , 23 , 24 , 25 ], propose wet EEG electrodes for high signal accuracy, calibration and less noise, interference unlike the dry leads.…”

“…EEG reflects and contains the information from human neurons via small, more effective, and lightweight devices [ 14 , 15 , 16 ]. To fulfill and meet the demands of public citizens it is to provide a highly secure and energy efficient protective, flexible, scalable, unique, and stable biometric system to compensate for the drawbacks of current conventional platforms [ 17 , 18 ]. However, EEG performance suffers in some fields due to noise, interference, and compatibility issues.…”

A Review of EEG-Based User Authentication: Trends and Future Research Directions

“…Hybrid protocols consist of a mixture of one or more EEGbased User Authentication methos or a mixture of traditional User Authentication techniques with EEG-based ones, like: Resting -VEP [43], VEP -Image Imagery [74], VEPnumber imagery [41], and RSVP -Motor Imagery [23]. Combining traditional User Authentication techniques or simple activities with EEG-based ones includes the use of pattern passwords on smartphones with parallel EEG recording [40,103,105], EEG signal recording while driving [51], and simultaneous recording of EEG and Gait signals when the user walks [78].…”

Win Big with Small: The Influence of Organic Food Packaging Size on Purchase Intention

“…On the one hand, when the information is incomplete, people have to bypass the knowledge gap to make judgments [ 55 ]. On the other hand, non-verbal information obtained through external clues from the food packaging is easier to identify and remember than verbal information [ 56 , 57 ]. Thus, consumers are more inclined to use psychological shortcuts to draw conclusions about products according to the external characteristics of packaging (e.g., size, color, etc.)…”