Method, system, and service for quantifying network risk to price insurance premiums and bonds

• US 20050261943A1
• Filed: 03/23/2005
• Published: 11/24/2005
• Est. Priority Date: 03/23/2004
• Status: Active Grant

• Current Assignee: Gretchen K. Phillips, John S. Quarterman, Peter F. Cassidy
• Original Assignee: Gretchen K. Phillips, John S. Quarterman, Peter F. Cassidy
• Inventors: Cassidy, Peter F., Phillips, Gretchen K., Quarterman, John S.
• Granted Patent: US 8,494,955 B2
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

The invention broadly comprises a method for determining financial loss related to performance of an internetwork. The method correlates input information regarding performance of an internetwork to operations of a financial entity underwriting insurance premiums and bonds and translates the correlated input information into at least one operational risk for the entity. In some aspects, the internetwork is the Internet. The method gathers secondary external information other than directly from the internetwork, correlates the input and secondary external information, and translates the correlated input and secondary external information into at least one operational risk for the entity. For at least one subset and one peril, the method determines a spread in time and space of effects of the at least one anomaly and peril on the internetwork and on the at least one subset.

Claims

1. A method for determining financial loss related to performance of an internetwork, comprising:

correlating input information regarding performance of an internetwork to operations of a financial entity; and

,

translating said correlated input information into at least one operational risk for said financial entity, where said financial entity underwrites insurance premiums and bonds.

2. The method recited in claim 1 wherein said internetwork is the Internet.

3. The method recited in claim 1 wherein said internetwork comprises at least one anomaly;

and,

said method further comprising;

collecting said input information using techniques that simultaneously record topology and performance;

detecting said at least one anomaly in at least one portion of said internetwork; and

,

characterizing said at least one anomaly by type, severity, duration, and effect. wherein said at least one anomaly is selected from the group consisting of denial of service (DoS) attacks, worms, congestion, routing flaps, and other degradation, denial, or disconnection of Internet connectivity.

4. The method recited in claim 1 wherein said internetwork comprises at least one subset and at least one peril;

and,

said method further comprising;

determining a spread in time and space of effects of said at least one anomaly and said at least one peril on the internetwork and on the at least one subset.

5. The method recited in claim 1 wherein said internetwork comprises a plurality of known anomalies;

and,

said method further comprising;

collating said plurality of known anomalies according to type; and

, and for each said type, computing a probability of occurrence, duration, and effects.

6. The method recited in claim 1 wherein said internetwork comprises a subset of nodes;

and,

said method further comprising;

estimating probabilities of degradation or interruption of connectivity to said subset of nodes.

7. The method recited in claim 1 wherein said internetwork comprises a subset using a transaction a number of times;

and,

said method further comprising;

adding information regarding said transaction to compute transaction risk for said subset using a transaction a number of times.

8. The method recited in claim 1 wherein said internetwork comprises a subset;

and,

said method further comprising;

estimating a cost to said subset for said at least one operational risk.

9. The method recited in claim 1 wherein said internetwork comprises a plurality of anomalies;

and,

said method further comprising;

adding information about a first plurality of enterprises in an industry;

estimating a total cost for said industry for said plurality of anomalies; and

,

determining respective costs for claims on insurance policies for said industry.

10. The method recited in claim 1 further comprising:

for an enterprise in an industry, estimating a number of policies to sell and a price at which to sell said number of policies to cover claims associated with said enterprise and provide a level of profit for said financial entity; and

,

estimating pricing information of insurance bonds related to performance of said internetwork.

11. The method recited in claim 1 further comprising:

gathering secondary external information, where said secondary external information is other than directly from said internetwork;

correlating said input and secondary external information; and

,

translating said correlated input and secondary external information into a second at least one operational risk for said financial entity.

12. The method recited in claim 1 further comprising:

examining an internetwork connection for a prospective customer of said financial entity to identify a customer peril and a customer anomaly; and

,

in response to said examination, choosing a relevant insurance policy at an appropriate price.

13. The method recited in claim 1 wherein a customer of said financial entity suffers an effect covered by an insurance policy issued by said financial entity;

and,

said method further comprising;

examining an internetwork connection for said customer to determine whether said internetwork included an anomaly that produced said effect.

14. The method recited in claim 1 wherein said financial entity is tracking a current state of said internetwork;

and,

said method further comprising;

periodically correlating said input information;

periodically translating said periodically correlated input information; and

,

providing at least one update regarding said at least one operational risk to said financial entity.

15. The method recited in claim 1 wherein said internetwork comprises a future anomaly and a current anomaly;

and,

said method further comprising;

predicting said future anomaly and a progress of said current anomaly.

16. The method recited in claim 1 wherein said internetwork comprises a peril;

and,

said method further comprising;

visualizing said peril, said at least one anomaly, and said at least one operational risk in a chart, graph, map, or moving picture.

17. The method recited in claim 1 wherein translating said correlated input information into at least one operational risk for said financial entity further comprises generating a function or table selected from the group consisting of an IPET, an IPAR, an IPOR, an IPTR, an IPSR, an IPSC, and an IPIRPM.

18. A method for determining financial loss related to performance of the Internet, comprising:

collecting, detecting, and characterizing input information regarding performance of an internetwork;

correlating said input information to operations of a financial entity, where said financial entity underwrites insurance premiums and bonds;

translating said correlated input information into at least one operational risk for said financial entity

determining a spread in time and space of effects of at least one anomaly and said at least one peril in the Internet on the at least one subset of the Internet;

collating said plurality of known anomalies according to type and for each said type, computing a probability of occurrence, duration, and effects;

estimating probabilities of degradation or interruption of connectivity to a subset of nodes;

adding information regarding a transaction to compute transaction risk for a subset using a transaction a number of times;

estimating a cost to a subset of the Internet for at least one operational risk; and

,

for an enterprise in an industry, estimating a number of policies to sell and a price at which to sell said number of policies to cover claims associated with said enterprise and provide a level of profit for said financial entity.

19. A computer-based system for determining financial loss related to performance of an internetwork, comprising:

means to correlate input information regarding performance of an internetwork to operations of a financial entity; and

,

means to translate said correlated input information into at least one operational risk for said financial entity, where said financial entity underwrites insurance premiums and bonds and said means to correlate and means to translate are located in at least one specially-programmed general purpose computer.

20. The system recited in claim 19 wherein said internetwork is the Internet.

21. The system recited in claim 19 wherein said internetwork comprises at least one anomaly;

and,

said system further comprising;

means to collect said input information using techniques that simultaneously record topology and performance;

means to detect said at least one anomaly in at least one portion of said internetwork; and

,

means to characterize said at least one anomaly by type, severity, duration, and effect, where said means to collect, said means to detect, and said means to characterize are located in said general purpose computer.

22. The system recited in claim 19 wherein said internetwork comprises at least one subset and at least one peril;

and,

said system further comprising;

means to determine a spread in time and space of effects of said at least one anomaly and said at least one peril on the internetwork and on the at least one subset, where said means to determine is located in said general purpose computer.

23. The system recited in claim 19 further comprising:

means to gather secondary external information, where said secondary external information is other than directly from said internetwork;

means to correlate said input and secondary external information; and

,

means to translate said correlated input and secondary external information into a second at least one operational risk for said financial entity, where said means to gather, said means to correlate, and said means to translate are located in said at least one general purpose computer.