Khandaker Abir Rahman

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We present a new attack called the snoop-forge-replay attack on keystroke-based continuous verification systems. The snoop-forge-replay is a sample-level forgery attack and is not specific to any particular keystroke-based continuous verification method or system. It can be launched with easily available keyloggers and APIs for keystroke synthesis. Our(More)
−This paper presents a novel person to camera distance measuring system based on eye-distance. The distance between centers of two eyes is used for measuring the person to camera distance. The variation in eye-distance (in pixels) with the changes in camera to person distance (in inches) is used to formulate the distance measuring system. The system starts(More)
Previous efforts in continuous cyber-behavioral verification have considered only zero-effort impostor attacks. Taking continuous verification with keystroke dynamics as a case in point, we demonstrate that forgery attempts created using snooped information (stolen keystroke timing information in our case) have alarmingly high success rates. In our(More)
Video image clustering is the backbone of person specific query and image retrieval from a video sequence. This paper presents a video image clustering algorithm based on the human face. Clustering in different video streams has been achieved in unsupervised manner where no prior knowledge about the input video clip is required. For face detection,(More)
This paper presents a user authentication system based on mouse movement data. An available logging tool named Recording User Input (RUI) is used to collect three types of mouse actions — Mouse Move, Point-and-Click on Left or Right mouse button and Drag-and-Drop. Collected data are divided into N-number of blocks consisting of specific number of(More)
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