Digital Envoy, Inc.

Netuitive, Inc.

David Helsper

Robert B Friedman

Jeff Burdette

Dennis Maicon

Robert J Jannarone

Joseph Hebenstreit

Christopher Jason Lee

Richard Cabrera

Todd Greene

Clayton Wilkinson, Iv

David Homoki

Amanda Rasmussen

John T Tatum

Jean-Francois Huard

Robert Zack

Bernd Harzog

Christopher Jason Lee Lee

A method, computer program product and electronic device are provided for providing hyper-local geo-targeting based on validated, user-supplied geographic information, wherein the user's anonymity may be maintained. In particular, user-supplied geographic information may be collected in association with a truncated IP address. Once collected, the user-supplied information may be validated using geographic data previously derived from one or more complete IP addresses corresponding to the received truncated IP address. The derived geographic data may have been derived using a system that maps the routing infrastructure of the Internet in order to determine where endpoints on the Internet are located. The validated, user-supplied geographic information, which may be more specific than the derived geographic data, may then be used to provide more granular and accurate geo-targeting, all the while maintaining the privacy of the individual users.

Method, computer program product and electronic device for hyper-local geo-targeting

An application and system for inspecting an email message to determine if the email message is being used in a phishing ploy. When an email recipient receives an email message, the email message is sent to an EScam server for inspection. During its inspection, the EScam server considers various criteria, such as an originating country for an IP address associated with a sender of the email message, and assigns a score to the email message. Based on the score of the email message and threshold levels set within the EScam server, an email client determines whether the email message is part of a phishing ploy or a legitimate email message.

Email anti-phishing inspector

A fraudulent business transaction application (FBTA) is provided for monitoring application based fraud. When a consumer supplies account access information in order to carry out an Internet business transaction, the FBTA uses an online fraud mitigation engine to detect phishing intrusions and identity theft. Methods are also provided for calculating travel velocity and transaction frequency, which are useful for determining a fraudulent transaction.

Fraud risk advisor

A fraudulent business transaction application (FBTA) is provided in embodiments of the present invention for monitoring fraudulent transactions. When a consumer supplies account access information in order to carry out an Internet business transaction, the FBTA uses an online fraud mitigation engine to detect phishing intrusions and identity theft. Embodiments are also provided for calculating travel velocity and transaction frequency, which are useful for determining a fraudulent transaction. Further embodiments are provided for authenticating a transaction using a cookie stored on a client device and a behavior profile stored on a server.

Fraud analyst smart cookie

A fraudulent business transaction application (FBTA) is provided for monitoring application based fraud. When a consumer supplies account access information in order to carry out an Internet business transaction, the FBTA uses an online fraud mitigation engine to detect phishing trusions and identity theft. Methods are also provided for calculating travel velocity and transcation frequency, which are useful for determining a fraudulent transaction.

A fraudulent business transaction application (FBTA) is provided for monitoring application based fraud. When a consumer supplies account access information in order to carry out on Internet business transaction, the FBTA uses an online fraud mitigation engine to detect phishing intrusions and identity theft. Methods are also provided for calculating travel velocity and transaction frequency, which are useful for determining a fraudulent transaction.

A monitoring system including a baseline model that automatically captures and models normal system behavior, a correlation model that employs multivariate autoregression analysis to detect abnormal system behavior, and an alarm service that weights and scores a variety of alerts to determine an alarm status and implement appropriate response actions. The baseline model decomposes the input variables into a number of components representing relatively predictable behaviors so that the erratic component e(t) may be isolated for further processing. These components include a global trend component, a cyclical component, and a seasonal component. Modeling and continually updating these components separately permits a more accurate identification of the erratic component of the input variable, which typically reflects abnormal patterns when they occur.

Method and system for analyzing and predicting the performance of computer network using time series measurements

A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.

Growing community of inventors

Marietta, GA, United States of America

David Helsper