Abstract:
The present invention relates to a system and method for authenticating a user based on user behaviour and environmental factors. The system (100) allows the user to access to an application server by evaluating the trust value of environmental and user behaviour factors. The system (100) comprises a Client Platform (101), an Authentication Gateway (102), an Authentication Server (103), an Application Server (104), and a Trust Engine (105). (Figure 1)
Abstract:
The present invention provides a method for identifying multiple entities in a learned image. The present invention utilizes a visual knowledge-base storing multiple pre-defined visual features of various entities. The learned image is sectioned (204) into a plurality of image sub-sections and visual features information from each of the plurality of sub-section images is thereafter extracted (206). The extracted visual features information of the sub-section images is compared (208) with those stored in the knowledge-base. The visual similarity between the extracted visual features information of the sub-section images and the stored visual features is rated (210). Based on the visual similarity rate, entities of the image can thereby be identified (214). A system for identifying multiple entities is also provided.
Abstract:
The present invention relates to a system and method for authenticating a user based on user behaviour and environmental factors. The system (100) allows the user to access to an application server by evaluating the trust value of environmental and user behaviour factors. The system (100) comprises a Client Platform (101), an Authentication Gateway (102), an Authentication Server (103), an Application Server (104), and a Trust Engine (105).