Risk information output device, information output system, risk information output method, and recording medium
US-2024414180-A1 · Dec 12, 2024 · US
US9723017B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-9723017-B1 |
| Application number | US-201514755298-A |
| Country | US |
| Kind code | B1 |
| Filing date | Jun 30, 2015 |
| Priority date | Dec 21, 2011 |
| Publication date | Aug 1, 2017 |
| Grant date | Aug 1, 2017 |
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There is disclosed herein techniques for use in detecting risky communications. In one embodiment, the techniques comprise a method including the following steps. The method comprises determining entropy in connection with a communication. The method also comprises performing a comparison based on the entropy and historical communications. The method further comprises determining the similarity between the communication and the historical communications based on the comparison.
Opening claim text (preview).
What is claimed is: 1. A method of performing computerized authentication comprising: receiving, by processing circuitry, an electronic communication in connection with a computerized resource; upon receiving the electronic communication, determining, by processing circuitry, an entropy value relating to the electronic communication; determining, by processing circuitry, a mean value and a standard deviation value from historical entropy values relating to historical electronic communications in connection with the computerized resource; based on the entropy value, the mean value, and the standard deviation value, performing, by processing circuitry, a risk operation to determine a risk score indicating a riskiness of the electronic communication; and determining, by processing circuitry, an action to take in connection with the electronic communication based on the risk score. 2. The method as claimed in claim 1 , wherein performing the risk operation, comprises: subtracting the mean value from the entropy value in connection with the electronic communication and dividing the difference between the mean and entropy values by the standard deviation value in order to determine the risk score. 3. The method as claimed in claim 2 , wherein a range comprising upper and lower endpoints enables an assessment of the similarity between the electronic communication and the historical electronic communications; and performing the risk operation, comprises: determining whether the risk score lies within the range, wherein the communication is deemed similar in the event the risk score lies within the range and anomalous in the event the risk score lies outside range. 4. The method as claimed in claim 1 , wherein determining the entropy value, comprises: determining a probability of seeking access with the computerized resource, wherein the probability is dependent on the number of visits to the computerized resource; and based on the probability, determining the entropy value in connection with the electronic communication. 5. The method as claimed in claim 4 , wherein the probability is dependent on the number of visits to the computerized resource by a particular user and a total number of visits to the computerized resource by all users. 6. The method as claimed in claim 4 , wherein the communication seeks access to a page of a website, further wherein the probability is dependent on the number of visits by a particular user to the page of the website and a total number of page visits in connection with the website. 7. An apparatus for performing computerized authentication, comprising: memory; and processing circuitry coupled to the memory, the memory storing instructions which, when carried out by the processing circuitry, cause the processing circuitry to: receive an electronic communication in connection with a computerized resource; upon receiving the electronic communication, determine an entropy value relating to the electronic communication; determine a mean value and a standard deviation value from historical entropy values relating to historical electronic communications in connection with the computerized resource; based on the entropy value, the mean value, and the standard deviation value, perform a risk operation to determine a risk score indicating a riskiness of the electronic communication; and determine an action to take in connection with the electronic communication based on the risk score. 8. The apparatus as claimed in claim 7 , wherein performing the risk operation, comprises: subtracting the mean value from the entropy value in connection with the electronic communication and dividing the difference between the mean and entropy values by the standard deviation value in order to determine the risk score. 9. The apparatus as claimed in claim 8 , wherein a range comprising upper and lower endpoints enables an assessment of the similarity between the electronic communication and the historical electronic communications; and performing the risk operation, comprises: determining whether the risk score lies within the range, wherein the communication is deemed similar in the event the risk score lies within the range and anomalous in the event the risk score lies outside range. 10. The apparatus as claimed in claim 7 , wherein determining the entropy value, comprises: determining a probability of seeking access with the computerized resource, wherein the probability is dependent on the number of visits to the computerized resource; and based on the probability, determining the entropy value in connection with the electronic communication. 11. The apparatus as claimed in claim 10 , wherein the probability is dependent on the number of visits to the computerized resource by a particular user and a total number of visits to the computerized resource by all users. 12. The apparatus as claimed in claim 10 , wherein the communication seeks access to a page of a website, further wherein the probability is dependent on the number of visits by a particular user to the page of the website and a total number of page visits in connection with the website. 13. A computer program product having a non-transitory computer readable medium which stores a set of instructions for performing computerized authentication, the set of instructions, when carried out by processing circuitry, causing the processing circuitry to perform a method of: receiving an electronic communication in connection with a computerized resource; upon receiving the electronic communication, determining an entropy value relating to the electronic communication; determining a mean value and a standard deviation value from historical entropy values relating to historical electronic communications in connection with the computerized resource; based on the entropy value, the mean value, and the standard deviation value, performing a risk operation to determine a risk score indicating a riskiness of the electronic communication; and determining an action to take in connection with the electronic communication based on the risk score. 14. The computer program product as claimed in claim 13 , wherein performing the risk operation, comprises: subtracting the mean value from the entropy value in connection with the electronic communication and dividing the difference between the mean and entropy values by the standard deviation value in order to determine the risk score. 15. The computer program product as claimed in claim 14 , wherein a range comprising upper and lower endpoints enables an assessment of the similarity between the electronic communication and the historical electronic communications; and performing the risk operation, comprises: determining whether the risk score lies within the range, wherein the communication is deemed similar in the event the risk score lies within the range and anomalous in the event the risk score lies outside range. 16. The computer program product as claimed in claim 13 , wherein determining the entropy value, comprises: determining a probability of seeking access with the computerized resource, wherein the probability is dependent on the number of visits to the computerized resource; and based on the probability, determining the entropy value in connection with the electronic communication. 17. The computer program product as claimed in claim 16 , wherein the probability is dependent on the number of visits to the computerized resource by a particular user and a total number of visits to the computerized resource by all users
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