Bot-based honeypot poison resilient data collection
First Claim
Patent Images
1. A method comprising:
- answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller;
recording each conversation the bot engages in; and
collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data.
1 Assignment
0 Petitions
Accused Products
Abstract
One embodiment provides a method comprising answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot. The bot is configured to engage in a conversation with a caller initiating an incoming phone call utilizing a voice recording that impersonates a human being. The method further comprises recording each conversation the bot engages in, and classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data.
-
Citations
20 Claims
-
1. A method comprising:
-
answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller; recording each conversation the bot engages in; and collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A system comprising:
-
at least one processor; and a non-transitory processor-readable memory device storing instructions that when executed by the at least one processor causes the at least one processor to perform operations including; answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller; recording each conversation the bot engages in; and collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
-
-
17. A computer program product comprising a computer-readable hardware storage medium having program code embodied therewith, the program code being executable by a computer to implement a method comprising:
-
answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller; recording each conversation the bot engages in; and collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data. - View Dependent Claims (18, 19, 20)
-
Specification