Biometrics using inherited characteristics are frequently used in security systems. An alternative metric is user behaviour. Examples of user behaviour are the set of web pages accessed over a number of Internet sessions, or, the set of television programmes viewed by an individual over a number of days. A mathematical framework is developed which enables simple and robust identification algorithms based on this kind of user behaviour to be presented.

A usage based pattern authenticator for monitoring and reporting on user usage patterns in an operating system using a set of security rules and user usage patterns.

An improved location based authentication (LBA) system for detecting fraudulent transactions committed by means of misuse of payment cards is disclosed. The improved LBA system performs a series of transaction analysis and generates a fraud-score which provides an indication as whether to authorize an attempted transaction. The system is designed to increase profitability of credit card companies by reducing the accumulated losses due to fraud. In one embodiment, the system detects fraud by analyzing the behavior patterns of card holders and merchants.

A keyboard device with authentication function based on user's behavious habit features that a user types in a character string by keyboard, the waveform variation of its electric signals is sampled to summerize the keystroke characteristics of the user, and the parameters of said keystroke characteristics are used to judge if the current keystrokes of a user are legal. If they are legal, relative resource is released to the user.

SOLUTION: The behavioral pattern extraction device comprises a history series extraction part for extracting history series of each user from a passage history database storing the user's passage history acquired from authentication devices and sensors, a history series database for storing the extracted history series, a behavioral pattern extraction part for extracting one or more behavior patterns of each user from a plurality of history series of each user, and a behavioral pattern database for storing the extracted behavioral patterns.

PROBLEM TO BE SOLVED: To prevent the illegal use of a password or the like by a third person and to improve the reliability of personal authentication. SOLUTION: Mouse button click timing pattern data and moving locus pattern data in which a personal habit (biometrics) is most expressed out of mouse operation are added to character string code data in a data format group of a password or the like. [Derwent Record]: Authentication system for information processing system, registers information about clicking time pattern and movement pattern of mouse

Human behavioral pattern is learnt and used in the authentication process.

Abstract: A method and system for inhibiting power of a vehicle given to a third party. The system includes a mode-indicating, an authenticator coupled to the mode-indicating device, and a power inhibiting device coupled to the mode-indicating device and adapted to selectively inhibit the power of the vehicle.

The identity of a user of a mobile device is verified by the mobile device accessing the location of the mobile device over recent time to obtain a current route, comparing a feature of the current route to characteristic features of previous routes stored on the mobile device.

Computer user profiling is based on behavioral biometrics. Distinctive profiles for users are established based on how they use a motion-based input device such as a mouse and/or a keyboard, during a training period. User identification is established by training neural networks. Experimental data is provided.

This publication discloses an User Authentication can grow more than the typical login-password interface and can be more personalized and customized. Here an attempt is being made to bring forth a new paradigm of user authentication interface. We are trying to associate the user authentication process with a more intricate user behavior analysis where we try to comprehend user interest, tendencies and preferences. Thus,

This paper discloses personal identification techniques based on operational habit of a device in order to authenticate the person using the device.