Abstract: The method and system for performing a completely automated public Turing test to tell computers and humans apart (CAPTCHA). The method comprises receiving by a server a request from a service server to initiate a CAPTCHA of a user node; generating an image of a path; generating at least one target to be placed upon the path; generating an object to be placed at a start point of the path; sending the generated path, the at least one generated target, and the object as a CAPTCHA challenge to the user node for display thereon; receiving, by the server, data respective of motion of the object with respect to the path and the at least one generated target; and issuing, based on analysis of the data received data, a pass indication upon determination that the user node is operative by a human.

Abstract: The method and system for performing a completely automated public Turing test to tell computers and humans apart (CAPTCHA). The method comprises receiving by a server a request from a service server to initiate a CAPTCHA of a user node; generating an image of a path; generating at least one target to be placed upon the path; generating an object to be placed at a start point of the path; sending the generated path, the at least one generated target, and the object as a CAPTCHA challenge to the user node for display thereon; receiving, by the server, data respective of motion of the object with respect to the path and the at least one generated target; and issuing, based on analysis of the data received data, a pass indication upon determination that the user node is operative by a human.

Abstract: A method and system for forecasting resource utilization of an information technology system having a plurality of system components. The method includes classifying the plurality of system components based on at least one resource utilization metric. The method also includes determining at least one reference component in each class from among the components classified within the respective class. The method also includes building a representative machine learning model for each reference component in each class. The method also includes applying the representative machine learning model to all system components within the respective class. Applying the representative machine learning model to all system components within the respective class forecasts the resource utilization of all system components in the information technology system without building a machine learning model for each system component in the information technology system.

Abstract: The present invention relates to a user authentication system and in particular to a method and system in which the user has to apply a transformation which can be an ArrayCard consists of transparent and/or opaque cells of Physical (static/electronic) or Virtual form or it can be a form of secret remembered which needs to be applied on an array of cells to arrive at a unique One-Time-SecretCode for each authentication request along with a sequence of cells/positions (pattern) in an array as a secret pattern. First, user undergoes registration phase to get authenticated to access the application. While registering user applies a transformation on the array of cells displayed on user terminal and registers a pattern by selecting the corresponding symbols from the resultant array. Once user gets registered, then he can access the application by authenticating himself to the system.