US 2019/0197443 A1Published application

Security and content protection using candidate trust score

AssigneePearson Education, Inc.

InventorsGregory ANDERSON, Wayne BAILEY, Colleen M. DOLAN, Jide FAJOBI, Darrick JENSEN, Ronald D. LANCASTER, JR., Matthew MALONEY, Michael NEALIS, Steven C. NORDBERG, Peter PASCALE, Andrew STOCKINGER

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Abstract

A system includes one or more server hardware computing devices communicatively coupled to a network. The one or more server hardware computing devices include one or more processors and memory storing specific computer-executable instructions that, when executed by the one or more processors, cause the system to receive a first request to calculate a trust score for a user associated with a user account of an online proctored examination platform. The trust score represents results of a risk analysis of the user. The instructions cause the system to obtain internal data of the online proctored examination platform, the internal data describing usage of the online proctored examination platform by the user, perform the risk analysis using at least the internal data to produce the trust score, associate the trust score with the user account, and perform an action based on the trust score.

Claims30

Dependent claims

first decision logic executable by the one or more processors to produce, based on data associated with a plurality of candidate risk factors, a candidate trust score within a predefined range;
and
specific computer-executable instructions that, when executed by the one or more processors, cause the system to:
receive a first message associated with a first user account of an online proctored examination platform;
determine that the first message includes a request to perform a first risk analysis of a candidate associated with the first user account, the first risk analysis describing a risk of cheating or theft posed by the candidate to the online proctored examination platform;
identify, in the plurality of candidate risk factors, one or more internal factors and one or more external factors;
obtain, from one or more internal data stores of the online proctored examination platform, internal data associated with the one or more internal factors;
obtain, from one or more external data sources that are external to the online proctored examination platform, external data associated with the candidate and with the one or more external factors;
execute the first decision logic, using the internal data and the external data as the data associated with the plurality of candidate risk factors, to produce a first trust score within the predefined range, the first trust score representing the risk posed by the candidate;
associate the first trust score with the first user account;
and
perform a first action based on the first trust score.

9 more elements

A system, comprising one or more server hardware computing devices communicatively coupled to a network, the one or more server hardware computing devices comprising one or more processors and memory storing specific computer-executable instructions that, when executed by the one or more processors, cause the system to:

receive a first request to calculate a trust score for a user associated with a user account of an online proctored examination platform, the trust score representing results of a risk analysis of the user;
obtain internal data of the online proctored examination platform, the internal data describing usage of the online proctored examination platform by the user;
perform the risk analysis using at least the internal data to produce the trust score;
associate the trust score with the user account;
and
perform an action based on the trust score.

3 more elements

receive a first request to calculate a trust score for a user associated with a user account of an online proctored examination platform, the trust score representing results of a risk analysis of the user;
obtain internal data of the online proctored examination platform, the internal data describing usage of the online proctored examination platform by the user and including a current trust score for the user;
perform the risk analysis, using at least the internal data and a plurality of risk factors for identifying high-risk behaviors and low-risk behaviors of the user, to produce an updated trust score, wherein the system updates the current trust score to represent a lower risk according to identified low-risk behaviors, and the system updates the current trust score to represent a higher risk according to identified high-risk behaviors;
associate the updated trust score with the user account;
and
perform an action based on the updated trust score.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/939,058Filed 28 Mar 2018
Priority: 27 Dec 2017
Published: 27 Jun 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification38 codes

G06Q 10/0635
Operations research, analysis or management: risk analysis of enterprise or organisation activities
G06F 9/546
Interprogram communication: message passing systems or structures, e.g. queues
G06F 11/3438
Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of…:…
G06F 21/31
Authentication, i.e. establishing the identity or authorisation of security principals: user authentication