Methods and systems for enhancing the security of voice biometric data

1 . A method for enhancing the security of voice biometric data comprising the steps of:

receiving, by an electronic device, voice biometric data of a user captured while the user was speaking;

analyzing the context in which the received voice biometric data was captured, wherein the context includes environmental and situational factors;

analyzing characteristics of the received voice biometric data to detect anomalies associated with synthetic speech, wherein anomalies are noncorrelations with characteristics of voice biometric data expected under the environmental and situational factors;

in response to determining the received voice biometric data is free of anomalies, conducting a biometric authentication transaction based on the voice biometric data;

in response to successfully authenticating the user, updating record voice biometric data of the user with the received voice biometric data;

modifying the updated record voice biometric data; and

securely storing the modified updated record voice biometric data.

2 . The method according to claim 1 , said securely storing step comprising:

calculating a cryptographic hash for the modified updated voice biometric data to uniquely identify the modified updated voice biometric data and prevent unauthorized alterations; and

recording the modified updated voice biometric data in a tamper-proof ledger using blockchain technology.

3 . The method according to claim 1 , further comprising:

updating an anomaly detection algorithm used to carry out said analyzing characteristics of the received voice biometric data step; and

updating a voice biometric data updating algorithm.

4 . The method according to claim 1 , wherein the characteristics comprise:

range of pitch;

timbre;

intensity;

prosody; and

pace, rhythm, and nature of speech.

5 . The method according to claim 1 , further comprising:

receiving additional authentication data associated with the user;

analyzing characteristics of the additional authentication data to detect anomalies associated with synthetic speech; and

in response to determining the received voice biometric data is free of anomalies, conducting an authentication transaction based on the additional authentication data.

6 . The method according to claim 1 , said modifying the updated voice biometric data step comprising:

altering the frequency modulation of the updated voice biometric data;

randomly altering inflection points and words in the updated voice biometric data; and

intermittingly introducing background noise, wherein the background noise varies in type and intensity.

7 . The method according to claim 1 , further comprising the step of developing adaptive thresholds for determining authenticity of the received voice data based on the context in which the received voice biometric data was captured and record data of the user.

8 . An electronic device for enhancing the security of voice biometric data comprising:

a processor; and

a memory configured to store data, said electronic device being associated with a network and said memory being in communication with said processor and having instructions stored thereon which, when read and executed by said processor, cause said electronic device to:

receive voice biometric data of a user captured while the user was speaking;

analyze the context in which the received voice biometric data was captured, wherein the context includes environmental and situational factors;

analyze characteristics of the received voice biometric data to detect anomalies associated with synthetic speech, wherein anomalies are noncorrelations with characteristics of voice biometric data expected under the environmental and situational factors;

in response to determining the received voice biometric data is free of anomalies, conduct a biometric authentication transaction based on the voice biometric data;

in response to successfully authenticating the user, update record voice biometric data of the user with the received voice biometric data;

modify the updated record voice biometric data; and

securely store the updated record voice biometric data.

9 . The electronic device according to claim 8 , wherein the instructions when read and executed by said processor, cause said electronic device to:

calculate a cryptographic hash for the modified updated voice biometric data to uniquely identify the modified updated voice biometric data and prevent unauthorized alterations; and

record the modified updated voice biometric data in a tamper-proof ledger using blockchain technology.

10 . The electronic device according to claim 8 , wherein the instructions when read and executed by said processor, cause said electronic device to:

update an anomaly detection algorithm used to analyze characteristics of the received voice biometric data; and

update a voice biometric data updating algorithm.

11 . The electronic device according to claim 8 , wherein the characteristics comprise:

range of pitch;

timbre;

intensity;

prosody; and

pace, rhythm, and nature of speech.

12 . The electronic device according to claim 8 , wherein the instructions when read and executed by said processor, further cause said electronic device to:

receive additional authentication data associated with the user;

analyze characteristics of the additional authentication data to detect anomalies associated with synthetic speech; and

in response to determining the received voice biometric data is free of anomalies, conduct an authentication transaction based on the additional authentication data.

13 . The electronic device according to claim 8 , wherein the instructions when read and executed by said processor, further cause said electronic device to:

alter the frequency modulation of the updated voice biometric data;

randomly alter inflection points and words in the updated voice biometric data; and

intermittingly introduce background noise, wherein the background noise varies in type and intensity.

14 . The electronic device according to claim 8 , wherein the instructions when read and executed by said processor, further cause said electronic device to develop adaptive thresholds for determining authenticity of the received voice data based on the context in which the received voice biometric data was captured and record data of the user.

15 . A non-transitory computer-readable recording medium in an electronic device for enhancing the security of voice biometric data, the non-transitory computer-readable recording medium storing instructions which when executed by a hardware processor cause the non-transitory recording medium to perform steps comprising:

receiving voice biometric data of a user captured while the user was speaking;

analyzing the context in which the received voice biometric data was captured, wherein the context includes environmental and situational factors;

analyzing characteristics of the received voice biometric data to detect anomalies associated with synthetic speech, wherein anomalies are noncorrelations with characteristics of voice biometric data expected under the environmental and situational factors;

in response to determining the received voice biometric data is free of anomalies, conducting a biometric authentication transaction based on the voice biometric data;

in response to successfully authenticating the user, updating record voice biometric data of the user with the received voice biometric data;

modifying the updated record voice biometric data; and

securely storing the updated record voice biometric data.

16 . The non-transitory computer-readable recording medium according to claim 15 , wherein the instructions when read and executed by said processor, cause said non-transitory computer-readable recording medium to perform the steps of:

calculating a cryptographic hash for the modified updated voice biometric data to uniquely identify the modified updated voice biometric data and prevent unauthorized alterations; and

recording the modified updated voice biometric data in a tamper-proof ledger using blockchain technology.

17 . The non-transitory computer-readable recording medium according to claim 15 , wherein the instructions when read and executed by said processor, cause said non-transitory computer-readable recording medium to perform the steps of:

updating an anomaly detection algorithm used to carry out said analyzing characteristics of the received voice biometric data step; and

updating a voice biometric data updating algorithm.

18 . The non-transitory computer-readable recording medium according to claim 15 , wherein the characteristics comprise:

range of pitch;

timbre;

intensity;

prosody; and

pace, rhythm, and nature of speech.

19 . The non-transitory computer-readable recording medium according to claim 15 , wherein the instructions when read and executed by said processor, cause said non-transitory computer-readable recording medium to perform the steps of:

receiving additional authentication data associated with the user;

analyzing characteristics of the additional authentication data to detect anomalies associated with synthetic speech; and

in response to determining the received voice biometric data is free of anomalies, conducting an authentication transaction based on the additional authentication data.

20 . The non-transitory computer-readable recording medium according to claim 15 , wherein the instructions when read and executed by said processor, cause said non-transitory computer-readable recording medium to perform the steps of:

altering the frequency modulation of the updated voice biometric data;

randomly altering inflection points and words in the updated voice biometric data; and

intermittingly introducing background noise, wherein the background noise varies in type and intensity.