Systems and methods for providing secure communication between an inmate and an outside user are disclosed. In various aspects, account information of both the user and the inmate is stored. A message transmission is received from a first device that includes a header portion and an encrypted payload portion. The system verifies that confidential communication between the inmate and the outside user is permitted based on the header portion and the stored account information. Once verified, the message is transmitted to a second device without decrypting the payload portion of the message.

Methods and systems are described for processing calls. An example method may comprise receiving a message for establishing a call. Identification information in the message may be compared to screening data. If a match is found, the message may be forwarded to a screening server. The screening server may establish a call based on the session and provide information indicative of a level of trust associated with the call.

A computer-implemented method, a computer program product, and a computer system for detecting, verifying and preventing unauthorized use of a Voice over Internet Protocol (VoIP) service. A computer rates a VoIP call based on a database including information of the caller number, in response to determining that no record of a caller number exists in a database including the information of unauthorized uses. The computer sets a predetermined time period for the VoIP call based on a rating of the VoIP call, adds the predetermined time period to a session initiation protocol (SIP) invite, and connects the VoIP call to a called party. In response to that the predetermined time period is reached, the computer interrupts the VoIP call and prompts the caller to conduct user verification. In response to that the caller is successfully verified, the computer reconnects the VoIP call to the called party.

A system and method are disclosed for training a machine-learning model to detect characteristics of fraudulent calls. The machine-learning model is trained using audio clips, voice recognition, call handler feedback and general public knowledge of commercial risks to detect and divert fraudulent calls, thereby alleviating the burdens otherwise placed on call center service representatives.

An electronic apparatus and a processing system are disclosed. In one embodiment, an electronic apparatus is an electronic apparatus to be operated by a first user. The electronic apparatus comprises a communication unit and at least one processor. The communication unit is configured to acquire first information related to an other-party apparatus. The at least one processor is configured to determine a movement state of a second user of the other-party apparatus, based on the first information. The at least one processor performs processing based on the determined movement state, in response to a place call command from the first user regarding first phone communication with the other-party apparatus.

An example method of operation may include one or more of identifying an outbound call placed by a mobile device subscribed to a protected carrier network, determining the outbound call is destined for a destination telephone number that was stored in a call history of the mobile device, determining the destination telephone number is a scam call suspect telephone number based on one or more identified call filter parameters associated with the destination telephone number, and forwarding a scam call notification to the mobile device while the outbound call is dialing the destination telephone number.

An example method of operation may include one or more of identifying an outbound call placed by a mobile device subscribed to a protected carrier network, determining the outbound call is destined for a destination telephone number that was stored in a call history of the mobile device, determining the destination telephone number is a scam call suspect telephone number based on one or more identified call filter parameters associated with the destination telephone number, and forwarding a scam call notification to the mobile device while the outbound call is dialing the destination telephone number.

An incoming communication processing system and method is disclosed for providing communication and data services to residents of a controlled facility. Specifically, the incoming communication processing system allows outside parties to initiate communications to residents of a controlled facility. The incoming communication processing system may work in conjunction with or separately from an outgoing communication processing system. Many restrictions and safeguards may be implemented within the incoming communication system in order to prevent improper use.

An incoming communication processing system and method is disclosed for providing communication and data services to residents of a controlled facility. Specifically, the incoming communication processing system allows outside parties to initiate communications to residents of a controlled facility. The incoming communication processing system may work in conjunction with or separately from an outgoing communication processing system. Many restrictions and safeguards may be implemented within the incoming communication system in order to prevent improper use.

Aspects of the disclosure relate to admission control of a communication session in a network. The admission control can be implemented by a network node at the boundary of the network or a subsystem thereof. In one aspect, the admission control can be implemented during a predetermined period and can be based at least on an admission criterion, which can be specific to an end-point device, e.g., a target device or an origination device. The admission criterion can be configurable and, in certain implementations, it can be obtained from historical performance associated with establishment of communication session. Such historical performance can be assessed within a period of a configurable span.