Emc Corporation

Ido Zilberberg

Lior Asher

Marcelo Blatt

Alex Zaslavsky

Erez Yakoel

Methods, apparatus and articles of manufacture for risk scoring for internet protocol networks are provided herein. A method includes identifying a network to which a first network element belongs, wherein said first network element comprises corresponding risk-related information, determining each of one or more network elements previously identified as belonging to the network, and calculating a risk score assigned to the network, wherein said calculating comprises aggregating (i) the risk-related information corresponding to the first network element and (ii) risk-related information corresponding to each of the one or more network elements previously identified as belonging to the network.

Risk scoring for internet protocol networks

There is disclosed a technique for use in providing an assessment of authentication requests. In one embodiment, the technique comprises receiving an authentication request with post-authentication feedback and an authentication request with no post-authentication feedback. In the same embodiment, the post-authentication feedback can include a marking indicating that the request is one of a genuine or fraudulent status after review by an analyst. If a request does not possess a post-authentication feedback then it is considered genuine status. The technique can then assign the status of the requests to a distinctive attribute associated with the requests before performing a computation which produces a computational result that is indicative of the risk associated with the distinctive attribute.

Method, apparatus and computer program product for assessing risk associated with authentication requests

Methods, apparatus and articles of manufacture for providing an automatic electronic fraud network data quality feedback loop are provided herein. A method includes evaluating an item of input data provided by a given source, wherein the item of input data comprises a fraud-related status identifier provided by the given source, and wherein said evaluating comprises determining a level of accuracy associated with the fraud-related status identifier; outputting the determined level of accuracy associated with the fraud-related status identifier to the given source; and updating a trust measure associated with the given source based on the determined level of accuracy associated with the fraud-related status identifier provided by the given source.

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Netanya, Israel

Ido Zilberberg