الفهرس | Only 14 pages are availabe for public view |
Abstract Securing the process of accessing cloud computing environment is one of the most important and sensitive fields in scientific research. Cloud Computing security faces daily new drawbacks and intruders. This thesis aims to enhance the presented performance from authentication systems based on keystroke dynamics (KD) that is used for accessing cloud environment. Between the different physiological and behavioral biometric techniques that is used for securing the cloud computing, keystrokes dynamics is the appropriate choice to be presented. It is the most user-friendly technique between other biometric techniques as users can’t know that they have been tested from the system, and it doesn’t need any external hardware. Different types of authentication techniques will be described in detail in additional to the drawbacks and the threaten attacks which faces them. The thesis targets the using of a multi factor mechanism based on biometric keystroke technique for higher level of security. Systems access decision is taken based on the predefined matching thresholds between the new access sample from the user and the referenced stored template. The proposed method mainly centers on the usage way of datasets for creating the user’s referenced template and how this way can totally affect the decision of the system. The thesis explains the processes of using a published dataset and the way of collecting a personal dataset from various users. A publicly shared keystroke dataset named CMU is used for implementing the proposed methodology. This dataset is analyzed for removing the typing outliers |