Abstract: Traditional security measures have been developed to protect computer system and data within mainly against outside attackers. However, in modern world, new types of threat arise due to bribable employee. Insider threats have potential to inflict severe damage to organization’s resources, financial assets and reputation. There are many types of insider threats which can break confidentiality, integrity, or availability. This paper focuses on the violations of confidentiality and integrity by privilege misuse or escalation in sensitive applications. First, we analyze and identify insider-threat scenarios that compromise confidentiality and integrity. We then discuss how to detect each threat scenario by analyzing the primitive user activities. We have implemented a threat detection mechanism by extending the capabilities of existing software packages. Since our approach can proactively detect the insider’s malicious behaviors before the malicious insider’s goal is achieved, we can preve

• Publication Date: 25-May-2014
• DOI: 10.15224/978-1-63248-028-6-01-14
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Abstract: In this paper we present a novel method for compact representation of images as a list of lines and splines. The method uses vectorization of images based on significance measure. The image could be represented as a list of dominant points (spline control points) instead of the m × n array of pixels. This is a compact representation of images and experiments have shown that the compression achieved in vector images is 99% and for curved images also we could represent the image as a list of spline curves. These dominant points are called the significant points using which the original image could be reconstructed without any significant loss of information. The method is affine transformation invariant. This method has many advantages such as compression, faster processing, transmission and less storage. The compact representation of image could be used for pattern matching such as character recognition. The paper also discusses piece-wise linear reconstruction of image from these signi

• Publication Date: 25-May-2014
• DOI: 10.15224/978-1-63248-028-6-01-15
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