Abstract:
There is disclosed some techniques for processing an authentication request which includes a user identifier and current user data. In one example, the technique comprises receiving the authentication request at an adaptive authentication system which includes a database having a set of entries with each entry of the set of entries including an identifier and previous user data in connection with previous authentication requests. The adaptive authentication system being constructed and arranged to perform an adaptive authentication operation on the authentication request as well as an unsupervised machine learning operation on the authentication request.
Abstract:
There is disclosed some techniques for processing an authentication request. In one example, a method comprises the step of determining the velocity between authentication requests of a user associated with the requests. Additionally, the method determines the likelihood that a location associated with one of the requests is associated with the user location. Furthermore, the method generates an authentication result based on the likelihood that a location associated with one of the requests is associated with the user location.
Abstract:
An information processing system implements a security system. The security system comprises a classifier configured to process information characterizing events in order to generate respective risk scores, and a data store coupled to the classifier and configured to store feedback relating to one or more attributes associated with an assessment of the risk scores by one or more users. The classifier is configured to utilize the feedback regarding the risk scores to learn riskiness of particular events and to adjust its operation based on the learned riskiness, such that the risk score generated by the classifier for a given one of the events is based at least in part on the feedback received regarding risk scores generated for one or more previous ones of the events.
Abstract:
Authentication systems are provided that select an authentication method to be applied to a given transaction from among a plurality of available authentication methods based on risk reasoning. An authentication request from an authentication requestor for a given transaction is processed by receiving the authentication request from the authentication requester and selecting an authentication method to be applied to the given transaction from among a plurality of available authentication methods based on an evaluation of one or more predefined risk reasons with respect to the available authentication methods. The predefined risk reasons associated with a given transaction comprise, for example, a set of risk reasons that contribute to a risk score that has been assigned to the given transaction. The evaluation may employ one or more of rule-based, heuristic and Bayesian techniques.
Abstract:
An improved technique involves automatically producing a set of KBA questions using values of attributes associated with correctly answered questions. A KBA question server obtains such attribute values from a prior set of pilot questions taken from users who were successfully authenticated. Examples of attributes include a source of facts in a question, placement of facts in a question, and question structure. The KBA question server then generates optimal formatting rules based on the attribute values; such formatting rules define a relationship between facts used to derive KBA questions and the words used to express the KBA questions to users. The KBA question generator then produces KBA questions according to the formatting rules.
Abstract:
A technique provides malicious identity profiles. The technique involves storing unsuccessful authentication entries in a database, the unsuccessful authentication entries including (i) descriptions of failed attempts to authenticate users and (ii) biometric records captured from the users during the failed attempts to authenticate the users. The technique further involves generating a set of malicious identity profiles based on the descriptions and the biometric records of the unsuccessful authentication entries stored in the database. Each malicious identity profile includes a profile biometric record for comparison with new biometric records during new authentication attempts. The technique further involves outputting the set of malicious identity profiles. Such a set of malicious identity profiles is well suited for use in future authentication operations, i.e., well suited for predicting intruder attacks and fraud attempts, and for sharing risky identities among authentication systems (e.g., among different security products within a cybercrime detection network).
Abstract:
Data driven device detection is provided, whereby a device is detected by obtaining a plurality of feature values for a given device; obtaining a set of device attributes for a plurality of potential devices; calculating a probability value that the given device is each potential device within the plurality of potential devices; identifying a candidate device associated with a maximum probability value among the calculated probability values; and labeling the given device as the candidate device if the associated maximum probability value satisfies a predefined threshold. The predefined threshold can be a function, for example, of whether the given user has previously used this device. The obtained feature values can be obtained for a selected set of features satisfying one or more predefined characteristic criteria. The device attributes can be obtained, for example, from a profile for each of the plurality of potential devices.
Abstract:
A technique provides alert prioritization. The technique involves selecting attributes to use as alert scoring factors. The technique further involves updating, for an incoming alert having particular attribute values for the selected attributes, count data to represent encounter of the incoming alert from perspectives of the selected attributes. The technique further involves generating an overall significance score for the incoming alert based on the updated count data. The overall significance score is a measure of alert significance relative to other alerts. Scored alerts then can be sorted so that investigators focus on the alerts with the highest significance scores. Such a technique is well suited for adaptive authentication (AA) and Security Information and Event Management (SIEM) systems among other alert-based systems such as churn analysis systems, malfunction detection systems, and the like.
Abstract:
An authentication technique involves obtaining, by processing circuitry, a set of suitability factors from a user device of a user. The authentication technique further involves performing, based on the set of suitability factors and by the processing circuitry, a selection operation which selects a set of suitable biometric methods to apply during authentication from available biometric methods which are available to the processing circuitry for use in authentication. The authentication technique further involves applying, after the set of suitable biometric methods is selected and by the processing circuitry, the set of suitable biometric methods during an authentication operation to determine whether the user is authentic. Accordingly, poorly suited biometric methods can be ruled out (i.e., made unavailable for use by authentication).
Abstract:
There is disclosed some techniques for selecting a user authentication challenge. In one example, the method comprises the steps of receiving an authentication request to authenticate a user and selecting a user authentication challenge to issue to the user in response to receiving the authentication request. The selection of the user authentication challenge comprises selecting a user authentication challenge among a plurality of user authentication challenges based on the cost effectiveness of the respective user authentication challenges and characteristics of the authentication request.