Abstract: Many Information Security (IS) researchers emphasize the importance of human factor within information security. The main problem is that the ones responsible for information security do not take the thoughts, feelings and behavior of employees into account. It is common for organization management and people responsible for security not to listen to employees but mainly deal with commanding them. Unintelligent countermeasures may result in employees behaving in a way that would negatively affect security, because security solutions are developed to attempt to protect information, but the human factor is often left without attention. Taxonomy is an important milestone for this work because it will enhance the ability to examine the problem in a more systematic way and will eventually contribute to the establishment of a behavior-based intrusion detection model. The taxonomy work here covers a more recent and up-to-date taxonomy effort with increased dimensions and features. None of the

• Publication Date: 11-Oct-2015
• DOI: 10.15224/978-1-63248-064-4-07
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Abstract: Camera calibration is one of the most important steps, recognized as a bottleneck, in 3D scanning devices that a very small error in the camera parameters can lead to imprecise 3D models. In the last two decades, different approaches have been taken and improved the precision of the calibration parameters; but still the desire for better precisions and more stability exists. In this work, we have used an easy-to-implement and cheap checkerboard as the calibration object. The initial data for calibration is obtained with only three images captured from the checkerboard. To optimize the non-linear camera equations, both numerical and Particle Swarm Optimization (PSO) algorithms together have been applied in order to increase the precision and reduce the sensitivity of the algorithm to noise and errors. Capability of combined numerical and PSO-based algorithm for camera calibration especially lens distortion is demonstrated using a criterion called re-projection error. This work is distin

• Publication Date: 11-Oct-2015
• DOI: 10.15224/978-1-63248-064-4-08
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• Downloads: 0