Methods and systems are described for authenticating calls. An example method may comprise receiving a message indicative of a call request. Header data associated with the message may be analyzed to determine an attestation value. A signature may be generated based on the attestation value. A signed message comprising the signature and at least a portion of the message may be sent.

Methods, devices, and systems can include, for example, receiving an incoming call and identification information and determining whether the identification information indicates that the incoming call is legitimate. The identification information is associated with the incoming call. The incoming call is received at a call control unit. The call control unit is associated with a telephone, and the incoming call is directed to the telephone. In response to a determination that the identification information indicates that the incoming call is legitimate, generating an indication that the incoming call is legitimate (where the indication is generated by the call control unit) and communicating the indication that the incoming call is legitimate to the telephone. In response to a determination that the identification information indicates that the incoming call is not legitimate, determining a telephone number of the incoming call and communicating the telephone number and the identification information to a server.

A system can be operable to receive a call from a communication device and identify whether the call is a spoofed based on, for example, whether a caller party user equipment associated with a caller identification number (caller ID number) is in an “idle” status, whether there are inconsistencies in the geographic location associated with a calling party’s network and the geographic location determined to be associated with the caller ID number presented, and whether the phone number presented as the caller ID number is registered with a calling party’s network.

Methods and apparatuses for managing spoofed calls to a mobile device are described, in which the mobile device receives a call transmitted over a cellular or mobile network. The call may include a set of information associated with the network, such as a geological location of a device that generated the call, a hardware device identifier corresponding to the device, an internet protocol (IP) address associated with the device, or a combination thereof. The mobile device may determine whether the call is spoofed or genuine based on the set of information. Subsequently, the mobile device may assist a user of the mobile device to manage the call, such as blocking the call from reaching the user, informing the user that the call is spoofed, facilitating the user to report the call as spoofed to an authority and/or a service provider of the network.

An example communications routing system includes a prediction engine to, for each user account, generate a predicted cost of communications events using a gamma-gamma cost model, generate a predicted revenue of presented advertisements using a gamma-gamma revenue model, generate a margin based on the predicted cost and the predicted revenue, and, when the margin for a given user account is below a margin threshold, restrict a status associated with the given user account.

Systems and methods for providing call verification to prevent voice phishing, comprising: receiving a first API call, wherein the first API call is a call request from a service provider to establish a call with a client device associated with a client of the service provider; verifying an identity of the service provider, wherein verifying the identity of the service provider comprises: generating a second API call; transmitting the second API to a verification system; and receiving verification of the service provider from the verification system; transmitting a notification to the client device that includes an indication that an incoming call is from a verified service provider; verifying the identity of the client; and establishing the call between the service provider and the client after both the identity of the service provider and the identity of the client are verified.

Embodiments described herein provide for a voice biometrics system execute machine-learning architectures capable of passive, active, continuous, or static operations, or a combination thereof. Systems passively and/or continuously, in some cases in addition to actively and/or statically, enrolling speakers. The system may dynamically generate and update profiles corresponding to end-users who contact a call center. The system may determine a level of enrollment for the enrollee profiles that limits the types of functions that the user may access. The system may update the profiles as new contact events are received or based on certain temporal triggering conditions.

There is a growing problem in correctional facility telecommunications systems in which parties on a voice call may connect inmate callers with restricted parties. Prison communication systems monitor calls to prevent such activity, but in Voice over Internet Protocol (VoIP) environments such systems may fail to detect this activity. The present disclosure provides details of a system and method for using SIP messages common in VoIP environments to detect illicit activity initiated by a party on a voice call within a controlled environment. Scenarios are detected in which a called party connects an inmate caller to a restricted party via three-way call conferencing, call forwarding, or other call features. Corrective actions are then taken when such activity is detected, such as call blocking or alerting officials illicit activity is occurring.

Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.

Controlled-environment communication systems are increasingly using voice over internet protocol (VoIP) to serve their users. VoIP allows voice to be sent in packetized form, where audio is encoded using one of several codecs. Because of bandwidth constraints, particularly during peak call times, codecs may be used which sacrifice audio quality for bandwidth efficiency. As a result, several features of communication systems, including critical security features. The present disclosure provides details for systems and methods by which a controlled-environment communication system may shift between codecs to perform security-related features or to alleviate bandwidth considerations. This involves the special formatting of control-signaling messages, including session initiation protocol (SIP) and session description protocol (SDP) messaging.