Project Brief: 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. The GA will help in: Initial project exploration and validation Implement apps to collect the data from human subjects as they use smart devices Data collection from human subjects as they use smart devices Design of machine learning algorithms to authenticate users
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Career Level
Entry Level
Number of Employees
501-1,000 employees