US-20260129118-A1 - METHOD AND SYSTEM FOR DETECTING SCAMS IN TELEPHONE COMMUNICATIONS

US20260129118A1US 20260129118 A1US20260129118 A1US 20260129118A1US-20260129118-A1

Abstract

A system for detecting scams in telephone communications including a switch platform in communication with a originating entity and a receiving entity, the switch platform being configured to route a telephone call from the originating entity to the receiving entity, the originating entity is an originator of the telephone call and the receiving entity is a recipient of the telephone call, the switch platform being configured to receive a plurality of telephone calls; a fraud detection system in communication with the switch platform, the fraud detection system being configured to receive a re-routed audio portion of selected one or more telephone calls; and an artificial intelligence engine in communication with the fraud detection system, the artificial intelligence engine being configured to analyze a sample of the re-routed audio portion to determine whether the selected one or more telephone calls is a scam telephone call.

Inventors

Umberto Mautone

Assignees

Veriswitch Solutions Inc.

Dates

Publication Date: 20260507
Application Date: 20241107

Claims (19)

1 . A system for detecting scams in telephone communications comprising: an intermediate entity having a switch platform in communication with an originating entity and a receiving entity, the switch platform being configured to route a telephone call from the originating entity to the receiving entity, the originating entity being an originator of the telephone call and the receiving entity being a recipient of the telephone call, the switch platform being configured to receive a plurality of telephone calls; a fraud detection system in communication with the switch platform, the fraud detection system being configured to receive a re-routed audio portion of selected one or more telephone calls from the plurality of telephone calls; and an artificial intelligence engine in communication with the fraud detection system, the artificial intelligence engine being configured to analyze a sample of the re-routed audio portion and return a result of analysis of the sample to determine whether the selected one or more telephone calls is a scam telephone call.
2 . The system according to claim 1 , wherein the fraud detection system is configured to sample the re-routed audio portion of the selected one or more telephone calls from the originating entity for a selected time period to extract a sample from the re-routed audio portion.
3 . The system according to claim 2 , wherein the selected time period is selected so as to be sufficient to gather a context of the telephone call.
4 . The system according to claim 2 , wherein the selected time period is at least a portion of a total duration of the telephone call and is between half of a minute to 4 minutes.
5 . The system according to claim 1 , wherein the fraud detection system is configured to transcribe to text at least a portion of the sample from the re-routed audio portion.
6 . The system according to claim 1 , wherein the fraud detection system is an integral part of the switch platform.
7 . The system according to claim 1 , wherein a number of the plurality of telephone call exceeds a thousand of telephone calls per second.
8 . The system according to claim 1 , wherein a signaling of a telephone call in the selected one or more telephone calls remains within the switching platform.
9 . The system according to claim 1 , wherein the fraud detection system is configured to not sample an audio portion of the selected one or more telephone calls from the recipient of the telephone call.
10 . The system according to claim 1 , wherein the artificial intelligence engine is an integral part of the fraud detection system.
11 . The system according to claim 1 , wherein the artificial intelligence engine uses a machine learning algorithm to analyze a text portion of the re-routed audio portion and determine whether the selected one or more telephone calls is a scam telephone call.
12 . The system according to claim 11 , wherein the machine learning algorithm includes a large language model.
13 . The system according to claim 1 , wherein the artificial intelligence engine is configured to return the result of the analysis to the fraud detection system.
14 . A method of detecting scams in telephone communications comprising: routing a telephone call, using a switch platform, from an originating entity to a receiving entity, the switch platform being in communication with the originating entity as an originator of the telephone call and the receiving entity as a recipient of the telephone, the switch platform being configured to receive a plurality of telephone calls: receiving, by a fraud detection system in communication with the switch platform, a re-routed audio portion of selected one or more telephone calls from the plurality of telephone calls; analyzing, by an artificial intelligence engine in communication with the fraud detection system, a sample of the re-routed audio portion; and returning, by the artificial intelligence engine to the fraud detection system, a result of analysis of the sample of the re-routed audio portion determining whether the selected one or more telephone calls is a scam telephone call.
15 . The method according to claim 14 , further comprising: sampling, by the fraud detection system, the re-routed audio portion of the selected one or more telephone calls from the originator of the telephone call for a selected time period; and extracting, by the fraud detection system, a sample from the re-routed audio portion.
16 . The method according to claim 15 , wherein the selected time period is selected so as to be sufficient to gather a context of the telephone call.
17 . The method according to claim 14 , further comprising: transcribing, by the fraud detection system, to text at least a portion of the sample from the re-routed audio portion.
18 . The method according to claim 14 , further comprising: not sampling, by the fraud detection system, an audio portion of the selected one or more telephone calls from the recipient of the telephone call.
19 . The method according to claim 14 , further comprising: analyzing, by the artificial intelligence engine using a machine learning algorithm, a text portion of the re-routed audio portion; and determining, by the artificial intelligence engine using the machine learning algorithm, whether the selected one or more telephone calls is a scam telephone call.

Description

BACKGROUND The field of the currently claimed embodiments of this invention relates generally to telephone communications, and more specifically to a method and a system for detecting fraud, scams and fraudsters in telephone communications. Unlawful, fraudulent, and scam activity can occur in telephone communications (e.g., telephone calls) by leading non-suspecting individuals to provide personal and financial information to fraudsters. Telephone fraud and scams are increasingly common. This type of activity may cause significant financial cost and emotional distress to its victims. For example, a recipient of a scam telephone communication may be tricked into providing information leading to identity theft and/or gaining access to bank accounts, or financial information or money for paying for products or services that will not be fulfilled. Telephone communication scammers are increasingly exploring various ways to deceiving non-suspecting victims. For example, telephone scams may originate from different countries, making it very difficult for telephone companies to track the origin of the telephone calls. Detecting or preventing scams is increasingly difficult. For example, existing methods may not be able to detect scammers that evade detection by spoofing telephone numbers, changing telephone numbers, and using spoofed numbers that correspond to the geographical area of the targeted non-suspecting individual. The ability to detect fraud over telecommunication networks provides telecommunication carriers with an opportunity to mitigate the risk or severity of damage. BRIEF DESCRIPTION OF THE DRAWINGS The present disclosure, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will become more apparent upon consideration of the following description and the appended claims with reference to the accompanying drawings, all of which form a part of this specification, wherein like reference numerals designate corresponding parts in the various figures. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. FIG. 1 is a diagram of a system for detecting scams in telephone communications, according to an embodiment of the present invention. FIG. 2 shows an example of a report showing the detection of the presence of a scam telephone call, according to an embodiment of the present invention. FIG. 3 shows an example of a suspicious call report (“SCR”), according to an embodiment of the present invention. FIG. 4 shows an example popup window that is displayed when a network from which a telephone scam originated is blocked, according to an embodiment of the present invention. FIG. 5 is a diagram of a computer system used to implement the system and method for detecting scams in telephone communications, according to an embodiment of the present invention. DETAILED DESCRIPTION Some embodiments of the current invention are discussed in detail below. In describing embodiments, specific terminology is employed for the sake of clarity. However, the invention is not intended to be limited to the specific terminology so selected. A person skilled in the relevant art will recognize that other equivalent components can be employed and other methods developed without departing from the broad concepts of the current invention. FIG. 1 is a diagram of a system for detecting scams in telephone communications, according to an embodiment of the present invention. As shown in FIG. 1, a telephone call(s) is/are routed from an originating entity 102 (e.g., customer A) to a receiving entity 104 (e.g., vendor B). Therefore, the originating entity 102 may be considered the originator of the telephone call and the receiving entity 104 may be considered the receiver of the telephone call. Normally, the audio (Real Time Protocol or RTP) from the telephone call will flow between the originating entity 102 and receiving entity 104 directly or through a proxy. The originating entity 102 can be a carrier, such as AT&T, a wholesaler, or an enterprise user. The receiving entity 104 can also be a carrier, such as Verizon, a wholesaler, or an enterprise user. In an embodiment, the originating entity 102 may be in communication with a source entity 103 which can be a carrier, a wholesaler, or an enterprise user. The receiving entity 104 may also be in communication with a forward entity 105 which also can be a carrier, a wholesaler, or an enterprise user. For example, a call may originate from the source entity 103 that is transmitted to the originating entity 102 which then forwards the call to the intermediate entity 106 who transmits the call to the receiving entity 104. The receiving entity 104 may further transmit the telephone call to the forward entity 105. Therefore, the term “originating entity” is not limited to an