One example method of operation may include identifying a call originated from a caller entity destined for a called entity at a call content server, identifying a called number associated with the called entity and a caller number associated with the caller entity, comparing a telephone number prefix associated with the called number with a number of enhanced call content data elements to identify a match, selecting one or more of the enhanced call content data elements to pair with the called number based on the match, and forwarding the selected enhanced call content data elements to the called entity.

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a permission from a user to monitor a plurality of activities; receiving monitoring data of the plurality of activities for a first period of time; verifying at least one common session parameter to identify an incoming interaction sessions; utilizing a software application to access an interaction session database; identifying an interruption associated with the software application for a second period of time; utilizing a machine learning algorithm to verify the interruption; determining a plurality of authentication rules; adjusting the plurality of authentication rules, receiving a response to an interactive communication; and updating the database of known session interaction parameters.

A mobile phone device includes: a display device that switches a display state between first and second display states; a communication unit that executes a call between a first user and a second user who makes a call using another phone device; an image generation unit that generates a first image indicating first information including a phone number of the another phone device based on identification information and generates a second image indicating second information related to the second user based on the identification information; a detection unit that detects a switching operation by the first user to switch the display state of the display device from the first display state to the second display state; and, a display control unit that changes the display state to the second display state and causes the display device to display the second image in a case where the switching operation is detected.

A mobile phone device includes: a display device that switches a display state between first and second display states; a communication unit that executes a call between a first user and a second user who makes a call using another phone device; an image generation unit that generates a first image indicating first information including a phone number of the another phone device based on identification information and generates a second image indicating second information related to the second user based on the identification information; a detection unit that detects a switching operation by the first user to switch the display state of the display device from the first display state to the second display state; and, a display control unit that changes the display state to the second display state and causes the display device to display the second image in a case where the switching operation is detected.

Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.