Abstract: Methods, systems and apparatus for assessing a likely status of an operator of a computing device interacting with a server as a human operator or an autonomic computer application, such as a “bot” are described herein. By monitoring at least some data, e.g., biometric data, generated at the client computing device, a comparison can be made between the monitored data and model data relating to human interaction with the computing device. The results of the comparison can lead to a value that represents the likelihood that the monitored data results from human interaction.

Abstract: Methods, systems and apparatus for providing a value indicating a judgment of whether a human or an autonomic computer application operating a client computer is interacting with a server, by: receiving data from the client computer including active data relating to interactions of the client computer with a website of the server and passive data of the client computer; analyzing received data from the client computer for indication of a human operating the client computer, wherein the analyzing includes analyzing the received data in conjunction with model data based on human interactions from a prior session with the same website and developing a first analysis value; determining that the first analysis value fails to meet a first analysis predetermined criteria; and providing a request for further data from the client computer based on the determination that the first analysis value fails to meet the first analysis predetermined criteria.

Abstract: Methods, systems and apparatus, e.g., non-transitory machine readable medium having stored thereon instructions, for providing a value indicating a judgment of whether a human or an autonomic computer application operating a client computer is interacting with a server, by operations comprising: receive data from the client computer including active data relating to interactions of the client computer with a website of the server and passive data of the client computer; analyze received data from the client computer for indication of a human operating the client computer, wherein the analyzing includes analyzing the received data in conjunction with model data based on human interactions from a prior session with the same website and developing a first analysis value; and provide a request for further data from the client computer when the first analysis value fails to meet the first analysis predetermined criteria.

Abstract: Methods, systems and apparatus for assessing the likely status of an operator of a computing device interacting with a server as a human operator or an autonomic computer application, such as a “bot” are described herein. By monitoring at least some data, e.g., biometric data, generated at the client computing device, a comparison can be made between the monitored data and model data relating to human interaction with the computing device. The results of the comparison can lead to a value that represents the likelihood that the monitored data results from human interaction.