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Application US20190068360
Published 2019-02-28
System And Method For Detecting Anomalies In Examinations
The disclosure provides systems and methods for maintaining integrity of documents and activities associated with examinations. The systems and methods store such activities and documents in a distributed blockchain such that integrity is maintained through transparency and redundancy of the records and activities. The systems monitor for any anomalies and notify appropriate individuals when an anomaly is detected, as well as maintaining a log of such anomalies.
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- 1. A method for maintaining a cryptographic distributed ledger for examination records, the method comprising:
receiving a digitized completed examination, the digitized completed examination representing an immutable record of a completion of an examination by a first party; storing the digitized completed examination within a blockchain that provides a verifiable record of examination activities; verifying the authenticity of the stored digitized completed examination against a historical record of the examination, and generate an alert if an anomaly is detected; receiving a digitized marked examination, the digitized marked examination representing an immutable record of a marking, by a second party, of the completed examination; storing the digitized marked examination within the blockchain; verifying the authenticity of the stored digitized marked examination against the stored digitized completed examination, and generate an alert if an anomaly is detected; and communicating the alert, when generated, to a user via a user interface, wherein the alert, when generated, comprises a message determined by the detected anomaly.
- 7. A method for maintaining verified examination records, the method comprising:
maintaining a secure chain of data blocks at a given computing node, wherein the given computing node is part of a set of computing nodes in a distributed network of computing nodes wherein each of the set of computing nodes maintains the secure chain of data blocks, wherein the secure chain of data blocks maintained at each computing node comprises one or more data blocks that respectively represent one or more activities associated with an examination; adding at least one data block to the secure chain of data blocks maintained at the given computing node in response to determining that examination activity data associated with the at least one data block is valid; generating an alert in response to determining that examination activity data associated with the at least one data block contains an anomaly; wherein the maintaining and adding steps are implemented via at least one processor operatively coupled to a memory associated with the given computing node.