EEG is the recording of electrical activities of the brain, usually along the scalp surface,
which are the results of synaptic activations of the brain's neurons. In recent years, it has …

ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …

This study investigates the performance of two open source intrusion detection systems
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …

Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …

Early diagnosis of Alzheimer's disease (AD) is a proceeding hot issue along with a sharp
upward trend in the incidence rate. Recently, early diagnosis of AD employing …

Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …

The electrocardiogram (ECG) signal has become a popular biometric modality due to
characteristics that make it suitable for developing reliable authentication systems. However …

Deep learning methods for person identification based on electroencephalographic (EEG)
brain activity encounters the problem of exploiting the temporally correlated structures or …

Cognitive biometrics is an emerging branch of biometric technology. Recent research has
demonstrated great potential for using cognitive biometrics in versatile applications …

There has been an increasing prevalence of ad-hoc networks for various purposes and
applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body …