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An innovative university is seeking a Graduate Assistant to work on cutting-edge research in behavioral authentication systems. This role involves exploring multi-behavioral modalities to enhance user authentication through unique biometric signatures. You will be responsible for designing applications to collect data from smart devices, implementing machine learning algorithms, and collaborating with faculty and fellow students. This is a fantastic opportunity to contribute to impactful research while developing your skills in a supportive academic environment. If you are passionate about Cybersecurity and eager to make a difference, this position is perfect for you.
The project aims at augmenting behavioral authentication systems by exploring fusion of multi-behavioral authentication modalities to develop more efficient and effective methods of generating biometric signatures of users. The newly developed modalities would rely on multiple user's behavioral traits (e.g., typing patterns, wrist, and hand movements) for system authentication.