Abstract: A system, method and device for detecting keystroke entries in a field entered by keyboard in connection with an online transaction that may be fraudulent or erroneous. A score can be assigned to a keystroke based upon its distance from another keystroke. The scores of keystrokes in a string can be summed to obtain a string score. The string score can be normalized by dividing the string score by the number of keystrokes summed to obtain the normalized string score. A risk of fraud or error can be determined based upon the value of the normalized string score in comparison to a predetermined value.

Abstract: The invention provides systems and methods for risk assessment using a variable risk engine. A method for risk assessment may comprise setting an amount of real-time risk analysis for an online transaction, performing the amount of real-time risk analysis based on the set amount, and performing an amount of time-delayed risk analysis. In some embodiments, the amount of real-time risk analysis may depend on a predetermined period of time for completion of the real-time risk analysis. In other embodiments, the amount of real-time risk analysis may depend on selected tests to be completed during the real-time risk analysis.

Abstract: The invention provides methods and apparatus for detecting when an online session is compromised. A plurality of device fingerprints may be collected from a user computer that is associated with a designated Session ID. A server may include pages that are delivered to a user for viewing in a browser at which time device fingerprints and Session ID information are collected. By collecting device fingerprints and session information at several locations among the pages delivered by the server throughout an online session, and not only one time or at log-in, a comparison between the fingerprints in association with a Session ID can identify the likelihood of session tampering and man-in-the middle attacks.

Abstract: The invention provides methods and apparatus for securing personalized or sensitive information appearing in digital images. Digital images containing information to be secured is processed and divided into a plurality of image cells. At least one image cell from the plurality of image cells is selected and redacted or altered to render the information to be secured with the selected image cells indecipherable. The invention also provides methods and apparatus for transmitting or streaming unredacted image cells alone or in combination with redacted image cells for secured viewing on a user browser or computer.

Abstract: A method and system for detecting and preventing Internet fraud in online transactions by utilizing and analyzing a number of parameters to uniquely identify a computer user and potential fraudulent transaction through predictive modeling. The method and system uses a delta of time between the clock of the computer used by the actual fraudulent use and the potentially fraudulent user and the clock of the server computer in conjunction with personal information and/or non-personal information, preferably the Browser ID.

Abstract: The invention provides methods and apparatus for detecting when an online session is compromised. A plurality of device fingerprints may be collected from a user computer that is associated with a designated Session ID. A server may include pages that are delivered to a user for viewing in a browser at which time device fingerprints and Session ID information are collected. By collecting device fingerprints and session information at several locations among the pages delivered by the server throughout an online session, and not only one time or at log-in, a comparison between the fingerprints in association with a Session ID can identify the likelihood of session tampering and man-in-the middle attacks.

Abstract: The invention provides systems and methods of locating a network device based on the time latency between a request by a user device and the receipt of the request by a plurality of satellite servers provided at different locations. Preferably three or more satellites may be employed. The request may be for an item, which may have a known file size, and which may or may not exist. Triangulation techniques may be utilized to determine the location of the device relative to the satellite servers.

Abstract: The invention provides methods and apparatus for securing personalized or sensitive information appearing in digital images. Digital images containing information to be secured is processed and divided into a plurality of image cells. At least one image cell from the plurality of image cells is selected and redacted or altered to render the information to be secured with the selected image cells indecipherable. The invention also provides methods and apparatus for redacting information to be secured in a high throughput automated process.

Abstract: The invention provides methods and apparatus for detecting when an online session is compromised. A plurality of device fingerprints may be collected from a user computer that is associated with a designated Session ID. A server may include pages that are delivered to a user for viewing in a browser at which time device fingerprints and Session ID information are collected. By collecting device fingerprints and session information at several locations among the pages delivered by the server throughout an online session, and not only one time or at log-in, a comparison between the fingerprints in association with a Session ID can identify the likelihood of session tampering and man-in-the middle attacks.

Abstract: A method and system for detecting and preventing Internet fraud in online transactions by utilizing and analyzing a number of parameters to uniquely identify a computer user and potential fraudulent transaction through predictive modeling. The method and system uses a delta of time between the clock of the computer used by the actual fraudulent use and the potentially fraudulent user and the clock of the server computer in conjunction with personal information and/or non-personal information, preferably the Browser ID.

Abstract: A method and system for detecting and preventing Internet fraud in online transactions by utilizing and analyzing a number of parameters to uniquely identify a computer user and potential fraudulent transaction through predictive modeling. The method and system uses a delta of time between the clock of the computer used by the actual fraudulent use and the potentially fraudulent user and the clock of the server computer in conjunction with personal information and/or non-personal information, preferably the Browser ID.

Abstract: A method of detecting fraudulent or erroneous data from a transaction data set is provided. A first transaction record having a plurality of key values is selected from a transaction record database. One of the key values is selected from the selected transaction record. The transaction record database is then queried for transaction records having the selected key value. A second database is compiled of transaction records that contain the selected key value. At least one other key value is then selected from the originally selected transaction record, and the transaction record database is again queried for transaction records also having the second key value. The results of the fist, second and any subsequent queries are added to a second or a suspect transaction database. Then, using the uncovered records, the transaction database is queried for the use of key values common to the uncovered set of transactions to see if additional records are suspect.