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公开(公告)号：JP2001356944A
公开(公告)日：2001-12-26
申请号：JP2001104704
申请日：2001-04-03
Applicant: LUCENT TECHNOLOGIES INC
Inventor： LAMBERT DIANE , PINHEIRO JOSE C , SUN DON X
Abstract: PROBLEM TO BE SOLVED: To provide improved technology to update customer's signature or other types of records in a data base system. SOLUTION: The customer's signature or other types of records are updated by using event driving type estimation quantity based on a model of a time- dependent behavior in the data base system. In a preferable form of embodiment, the latest version of a record to be affected by prescribed transaction is retrieved from a memory of the system, the event driving type estimation quantity of at least one of transaction rate and period probability to the record are determined at least partially based on a dynamic Poisson timing model having the transaction rate on the basis of period corresponding to many related periods. The event driving type estimation quantity is allowed to be constituted so as to generate an estimated transaction rate λjin for a period j and a prescribed transaction n and after that to generate an estimated period probability λjm/Σkλkm for the period j setting πj,n. And an updated version of the record is allowed to be generated based on the event driving type estimation quantity.
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公开(公告)号：AU3470499A
公开(公告)日：1999-10-25
申请号：AU3470499
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , FERRARA VIRGINIA KAY , LAMBERT DIANE
Abstract: Fraud losses in a communication network are substantially reduced by automatically generating fraud management recommendations in response to suspected fraud and by deriving the recommendations as a function of selected attributes of the fraudulent activity. More specifically, a programmable rules engine automatically generates recommendations based on call-by-call fraud scoring so that the recommendations correspond directly to the type and amount of suspected fraudulent activity. Using telecommunications fraud as an example, an automated fraud management system receives call detail records that have been previously scored to identify potentially fraudulent calls. Fraud scoring estimates the probability of fraud for each call based on the learned behavior of an individual subscriber as well as that of fraud perpetrators. Scoring also provides an indication of the contribution of various elements of the call detail record to the fraud score for that call. A case analysis is initiated and previously scored call detail records are separated into innocuous and suspicious groups based on fraud scores. Each group is then characterized according to selected variables and scoring for its member calls. These characterizations are combined with subscriber information to generate a set of decision variables. A set of rules is then applied to determine if the current set of decision variables meets definable conditions. When a condition is met, prevention measures associated with that condition are recommended for the account. As one example, recommended prevention measures may be automatically implemented via provisioning functions in the telecommunications network.
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公开(公告)号：CA2338795C
公开(公告)日：2011-09-13
申请号：CA2338795
申请日：2000-05-31
Applicant: LUCENT TECHNOLOGIES INC
Inventor： LAMBERT DIANE , PINHEIRO JOSE C , SUN DON X
Abstract: Disclosed is a method for maintaining compact descriptions of the behavior of customers in a database of information relating to customer transactions. Of all possible variables that might be used to characterize customer transactions, a limited number are selected on the basis of discriminating power to define customer profiles. Customers are classified according to distinguishing features of their profiles. A new customer can be initially assigned to a particular class based on data characterizing his first few transactions.
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公开(公告)号：CA2327338C
公开(公告)日：2004-09-21
申请号：CA2327338
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , LAMBERT DIANE , FERRARA VIRGINIA KAY
Abstract: Fraud losses in a communication network are substantially reduced by automatically and selectively invoking one or more authentication measures based on a fraud score that indicates the likelihood of fraud for that particular call or previously scored calls. By selectively invoking authentication on only those calls that are suspected or confirmed to be fraudulent, fraud prevention can be achieved in a way that both reduced fraud losses and minimizes disruptions to legitimate subscribers. Using telecommunication fraud as an example, a subscriber is registered in a system by collecting data on that subscriber based on the particular authentication method being used, such as shared knowledge (e.g., passwords), bio-metric validation (e.g., voice verification), and the like. Once registered, the authentication function for the subscriber's account is activated and subsequent calls are then scored for the likelihood of fraud during the call setup request phase. Fraud scoring estimates the probability of fraud for each call based on the learned behavior of an individual subscriber and the learned behavior of fraud perpetrators. If fraud is not suspected based on the fraud score, then normal call processing can resume without the need for authentication. if fraud is suspected based on the fraud score, then the system automatically invokes authentication. If authentication indicates suspicion of fraud, e.g., voice prints do not match, then the call may either be blocked or referred for other appropriate prevention measures, e.g., intercepted by an operator. If fraud is not indicated by authentication, then normal call processing may resume.
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公开(公告)号：BR9909162A
公开(公告)日：2002-02-05
申请号：BR9909162
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , FERRARA VIRGINIA KAY , LAMBERT DIANE
Abstract: Fraud losses in a communication network are substantially reduced by automatically generating fraud management recommendations in response to suspected fraud and by deriving the recommendations as a function of selected attributes of the fraudulent activity. More specifically, a programmable rules engine automatically generates recommendations based on call-by-call fraud scoring so that the recommendations correspond directly to the type and amount of suspected fraudulent activity. Using telecommunications fraud as an example, an automated fraud management system receives call detail records that have been previously scored to identify potentially fraudulent calls. Fraud scoring estimates the probability of fraud for each call based on the learned behavior of an individual subscriber as well as that of fraud perpetrators. Scoring also provides an indication of the contribution of various elements of the call detail record to the fraud score for that call. A case analysis is initiated and previously scored call detail records are separated into innocuous and suspicious groups based on fraud scores. Each group is then characterized according to selected variables and scoring for its member calls. These characterizations are combined with subscriber information to generate a set of decision variables. A set of rules is then applied to determine if the current set of decision variables meets definable conditions. When a condition is met, prevention measures associated with that condition are recommended for the account. As one example, recommended prevention measures may be automatically implemented via provisioning functions in the telecommunications network.
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Patent Agency Ranking
公开(公告)号：CA2338795A1
公开(公告)日：2000-12-07
申请号：CA2338795
申请日：2000-05-31
Applicant: LUCENT TECHNOLOGIES INC
Inventor： SUN DON X , PINHEIRO JOSE C , LAMBERT DIANE
Abstract: Disclosed is a method for maintaining compact descriptions of the behavior o f customers in a database of information relating to customer transactions. Of all possible variables that might be used to characterize customer transactions, a limited number are selected on the basis of discriminating power to define customer profiles. Customers are classified according to distinguishing features of their profiles. A new customer can be initially assigned to a particular class based on data characterizing his first few transactions.
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公开(公告)号：BR9909163A
公开(公告)日：2000-12-05
申请号：BR9909163
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , FERRARA VIRGINIA KAY , LAMBERT DIANE
Abstract: Fraud losses in a communication network are substantially reduced by automatically and selectively invoking one or more authentication measures based on a fraud score that indicates the likelihood of fraud for that particular call or previously scored calls. By selectively invoking authentication on only those calls that are suspected or confirmed to be fraudulent, fraud prevention can be achieved in a way that both reduces fraud losses and minimizes disruptions to legitimate subscribers. Using telecommunication fraud as an example, a subscriber is registered in a system by collecting data on that subscriber based on the particular authentication method being used, such as shared knowledge (e.g., passwords), biometric validation (e.g., voice verification), and the like. Once registered, the authentication function for the subscriber's account is activated and subsequent calls are then scored for the likelihood of fraud during the call setup request phase. Fraud scoring estimates the probability of fraud for each call based on the learned behavior of an individual subscriber and the learned behavior of fraud perpetrators. If fraud is not suspected based on the fraud score, then normal call processing can resume without the need for authentication. If fraud is suspected based on the fraud score, then the system automatically invokes authentication. If authentication indicates suspicion of fraud, e.g., voice prints do not match, then the call may be either be blocked or referred for other appropriate prevention measures, e.g., intercepted by an operator. If fraud is not indicated by authentication, then normal call processing may resume.
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公开(公告)号：DE69942789D1
公开(公告)日：2010-11-04
申请号：DE69942789
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , FERRARA VIRGINIA KAY , LAMBERT DIANE
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公开(公告)号：CA2327680A1
公开(公告)日：1999-10-14
申请号：CA2327680
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , LAMBERT DIANE , FERRARA VIRGINIA KAY
Abstract: Fraud losses in a communication network are substantially reduced by automatically generating fraud management recommendations in response to suspected fraud and by deriving the recommendations as a function of selected attributes of the fraudulent activity. More specifically, a programmable rules engine automatically generates recommendations based on call-by-call fraud scoring so that the recommendations correspond directly to the type and amount of suspected fraudulent activity. Using telecommunications fraud as an example, an automated fraud management system receives call detail records that have been previously scored to identify potentially fraudulent calls. Fraud scoring estimates the probability of fraud for each call based on the learned behavior of an individual subscriber as well as that of fraud perpetrators. Scoring also provides an indication of the contribution of various elements of the call detail record to the fraud score for that call. A case analysis is initiated and previously scored call detail records are separated into innocuous and suspicious groups based on fraud scores. Each group is then characterized according to selected variables and scoring for its member calls. These characterizations are combined with subscriber information to generate a set of decision variables. A set of rules is then applied to determine if the current set of decision variables meets definable conditions. When a condition is met, prevention measures associated with that condition are recommended for the account. As one example, recommended prevention measures may be automatically implemented via provisioning functions in the telecommunications network.
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公开(公告)号：AU3382399A
公开(公告)日：1999-10-25
申请号：AU3382399
申请日：1999-04-05
Applicant: LUCENT TECHNOLOGIES INC
Inventor： BAULIER GERALD DONALD , CAHILL MICHAEL H , FERRARA VIRGINIA KAY , LAMBERT DIANE
Abstract: Fraud losses in a communication network are substantially reduced by automatically and selectively invoking one or more authentication measures based on a fraud score that indicates the likelihood of fraud for that particular call or previously scored calls. By selectively invoking authentication on only those calls that are suspected or confirmed to be fraudulent, fraud prevention can be achieved in a way that both reduces fraud losses and minimizes disruptions to legitimate subscribers. Using telecommunication fraud as an example, a subscriber is registered in a system by collecting data on that subscriber based on the particular authentication method being used, such as shared knowledge (e.g., passwords), biometric validation (e.g., voice verification), and the like. Once registered, the authentication function for the subscriber's account is activated and subsequent calls are then scored for the likelihood of fraud during the call setup request phase. Fraud scoring estimates the probability of fraud for each call based on the learned behavior of an individual subscriber and the learned behavior of fraud perpetrators. If fraud is not suspected based on the fraud score, then normal call processing can resume without the need for authentication. If fraud is suspected based on the fraud score, then the system automatically invokes authentication. If authentication indicates suspicion of fraud, e.g., voice prints do not match, then the call may be either be blocked or referred for other appropriate prevention measures, e.g., intercepted by an operator. If fraud is not indicated by authentication, then normal call processing may resume.
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