Threat modeling is an essential activity in the security development lifecycle. To provide security at the design phase of software development, Microsoft introduced threat modeling stride to identify the vulnerabilities and attacks of application. An efficient solution is necessary to deal with these issues in the software development life cycle. In this context, the paper focused on the analysis of threats and attack tree techniques that are traditionally available and frequently used. Automated Threat modeling enables to simulate attacks and visualized the existing vulnerabilities and misconfiguration. A hybrid model is proposed based on system-centric and attacker-centric to identify the threats in the software application during the software design phase. This model is built by STRIDE by defining security architecture and then analyzed the risks regarding its security characteristics and applied to its real application system. Our model is applied in a case study of the health center management system and shows a better result is identifying the threats and severity in the design phase. And also attack tree defines the stages of threats to understand the severity.

Data warehouses help to store and analyze large multidimensional datasets and provide enterprise decision support. With an increased availability of spatial data in recent years, several new strategies have been proposed to enable their integration i

Besides topological relationships and approximate relationships, cardinal directions like north and southwest have turned out to be an important class of qualitative spatial relationships. They are of interdisciplinary interest in fields like cognitive science, robotics, artificial intelligence, and qualitative spatial reasoning. In spatial databases and Geographic Information Systems (GIS) they are frequently used as join and selection criteria in spatial queries. However, the available computational models of cardinal directions suffer a number of problems like the use of too coarse approximations of the two spatial operand objects in terms of single representative points or minimum bounding rectangles, the lacking property of converseness of the cardinal directions computed, and the limited applicability to simple instead of complex regions only. This article proposes and formally defines a novel two-phase model, called the Objects Interaction Matrix (OIM) model, that solves these problems, and determines cardinal directions for even complex regions. The model consists of a tiling phase and an interpretation phase. In the tiling phase , a tiling strategy first determines the zones belonging to the nine cardinal directions of each individual region object and then intersects them. The result leads to a bounded grid called objects interaction grid . For each grid cell the information about the region objects that intersect it is stored in an objects interaction matrix . In the subsequent interpretation phase , a well-defined interpretation method is applied to such a matrix and determines the cardinal direction. Spatial example queries illustrate our new cardinal direction concept that is embedded in a spatial extension of SQL and provides user-defined cardinal direction predicates.