Network assurance analytic system

• US 7,961,857 B2
• Filed: 06/01/2006
• Issued: 06/14/2011
• Est. Priority Date: 06/01/2005
• Status: Active Grant

• Current Assignee: Fair Isaac Corporation
• Original Assignee: Fair Isaac Corporation
• Inventors: Balon, Michael P., Zoldi, Scott M.
• Primary Examiner(s): TIEU, BINH KIEN
• Application Number:
  US11/446,453
• Publication Number:
  US 20070036309A1
• Time in Patent Office: 1,839 Days
• Field of Search: 379/111, 379/112.01, 379/112.05, 379/112.06, 379/112.07, 379/114.01, 379/121.01, 379/133, 379/134, 379/136, 379/115.03, 379/120
• US Class Current: 379/114.14
• CPC Class Codes: H04M 15/00 Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
• CPC Class Codes: H04M 15/41 Billing record details, i.e. parameters, identifiers, structure of call data record [CDR]
• CPC Class Codes: H04M 15/47 Fraud detection or prevention means
• CPC Class Codes: H04M 15/58 based on statistics of usage or network monitoring
• CPC Class Codes: H04M 2203/6027 Fraud preventions
• CPC Class Codes: H04M 2215/0148 Fraud detection or prevention means
• CPC Class Codes: H04M 2215/0164 Billing record, e.g. Call Data Record [CDR], Toll Ticket[TT], Automatic Message Accounting [AMA], Call Line Identifier [CLI], details, i.e. parameters, identifiers, structure
• CPC Class Codes: H04M 2215/0188 Network monitoring; statistics on usage on called/calling number
• CPC Class Codes: H04M 3/22 Arrangements for supervision, monitoring or testing
• CPC Class Codes: H04Q 2213/13091 CLI, identification of calling line
• CPC Class Codes: H04Q 2213/13103 Memory
• CPC Class Codes: H04Q 2213/13139 Fraud detection/prevention
• CPC Class Codes: H04Q 2213/13345 Intelligent networks, SCP
• CPC Class Codes: H04Q 2213/13349 Network management
• CPC Class Codes: H04Q 3/0029 Provisions for intelligent networking
• CPC Class Codes: H04Q 3/0087 Network testing or monitoring arrangements

Abstract

A network assurance analytics (NAA) system and method is disclosed. The NAA can be part of a risk analytic for telecom (RAFT) program. The NAA system is configured to monitor telecommunications networks, detect errors or fraud in those telecommunications networks, and provide solutions to resolve the errors or reduce the fraud. Traffic of a telecommunications network is electronically monitored for at least one pattern that is indicative of a telecommunications anomaly. Based on a set of a set of telecommunications profiles stored in a database, a model score representing a value of the telecommunications anomaly is generated. A solution for the telecommunications network to reduce the model score associated with the telecommunications anomaly is then generated for execution on the telecommunications network.

Claims

1. A method of detecting revenue leakage in a telecommunications system, the method comprising:

detecting characteristics of non-reconciled SS7/C7 service detail records for calling line identities across point codes and routes of the telecommunications system

generating an absolute value, frequency and proportion for at least one of the detected characteristics; and

reporting the detected characteristics in a hierarchal summarization according to the absolute value, frequency and proportion.

2. A method in accordance with claim 1, wherein the characteristics include a route identifier of the telecommunications system.

3. A method in accordance with claim 1, wherein the characteristics include at least one serving/destination point code of the telecommunications system.

4. A method in accordance with claim 1, wherein the characteristics include an international/domestic designator.

5. A method in accordance with claim 1, wherein the characteristics include a destination country.

6. A method in accordance with claim 1, wherein the characteristics include a premium rate designator.

7. A method in accordance with claim 1, wherein the characteristics include a mobile number.

8. A method in accordance with claim 1, wherein the characteristics include a dial around access code.

9. A method in accordance with claim 1, wherein the hierarchal summarization includes absolute values, frequency and proportion of the detected characteristics.

10. A method in accordance with claim 1, further comprising displaying the hierarchical summarization in a computer display.