Title: Real-time Multimodal Biometric Authentication Web-based application, using Electroencephalography, Face Recognition and SMS tokens
Speaker: Dr. Ghada Alhudhud
Living in the era of rapid information exchange has made the need for powerful authentication systems the mandate of everyone. A form of authentication that has been widely used lately is biometric traits, such as fingerprint, iris, face and voice. Despite the fact that there is a revolution in the development of unimodal biometric authentication systems, yet it is considered challenging in terms of the efficiency problems. Among these problems are: the noisy data (e.g. scars in the skin in fingerprints), and restricted degrees of freedom (e.g. Feature similarities in systems with large users population), spoof attacks (e.g. in voice recognition spoofing is done by recording the voice and use it to get access) and unacceptable error rates. These challenges make these systems unable to provide the expected level of security. Recent research in the field proposes multimodal biometric security systems in order to overcome the reliance on the evidence of one source of information to identify a person. This is reasoned out by the presence of multiple, (fairly) independent pieces of evidence" in multimodal biometric security systems. Meanwhile, the Electroencephalography or EEG, is a type of wave signals produced by the brain, it is used in applications related to brain health. Also, EEG can be a very good solution for the issue of individuals with disabilities and authentication systems, since it only requires an active brain to capture the signals. However, it has been proven that, the use of EEG in authentication is very powerful due to three main reasons. First, some features that are extracted from the EEG signals are unique from one person to another     .Second, brain signals are only vital inside the human brain. Third, the brain signals are still considered difficult to be copied from one medium to another.
Speaker's Bio: Dr Ghada Alhudhud is an Assistant Professor in the Information Technology Department of the College of Computer and Information Sciences in King Saud University.
Date/Time: Tuesday, May 6 12-1pm
Location: Maria Auditorium, F50 in Building 6 (Broadcast to Room 2079 in CCIS Building 31)