US 11,689,660 B2Granted

Methods and systems for detecting disinformation and blocking robotic calls

OwnerEric Adolphe, Jesse Cai +3inventors

InventorsEric Adolphe, Jesse Cai, Karthik Prasanna Maiya, Hongyi Guan, Ben Sisko Adolphe

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Abstract

An innovative method is implemented to determine a robocall and blocks the incoming communication deemed to be a robocall. The method leverages blockchain's shared storage, memory, and ability to transact all information across a network and independently verified and stored on the immutable blockchain. The method takes advantage high-speed cellular network to process each communication with high-speed. Further, the method integrates blockchain encryption, swarm intelligence (SI), artificial intelligence (AI) and machine learning (ML) algorithms, a telecommunication expert knowledge graph (TEKG), and real-time parsing of records to block robocalls and reduce connection delays. All modules can evolve and update themselves with each use of the present invention through various SI, AI, and ML technologies. Additionally, the method includes a localized call-filtering feature based on state and federal laws to ensure the blocking of calls that are prohibited by either federal or state governments thereby facilitating recovery of damages.

Claims21

Dependent claims

A method for determining and blocking robocall communications comprising the steps of:

(A) providing a plurality of user accounts managed by at least one remote server, wherein each of the plurality of user accounts is associated with a corresponding personal computing (PC) device;
(B) receiving a call for connection from a random caller for communication with the corresponding PC device of a specific user account through the remote server;
(C) determining if the connection request is a robocall with a call blocking mechanism through the remote server, wherein the call blocking mechanism comprises a blockchain unit (BU) and a telecommunication expert knowledge graph (TEKG) for call analysis and handling;
(D) blocking the call with the corresponding PC device of the specific user account, if the call is determined to be a robocall with a statistical significance of a predetermined confidence;
and
(E) updating the blockchain record of the call using the BU through the remote server, wherein the detailed information of call analysis and handling is used to update the TEKG and shared with all user accounts;
determining if the call is from a subscriber using an active blocking (AB) module of the call blocking mechanism with the corresponding PC device of the specific user account in step (C);
analyzing the call using a swarm intelligence (SI), machine learning (ML), and/or artificial intelligence (AI) application of the AB module if the call is not from a subscriber;
determining if the call from the nonsubscriber violates a policy of a plurality of SDDRC (scam/deepfake/disinformation call) policies established in TEKG according to the statistical significance of the predetermined confidence;
and
sending the policy-violating robocall from the nonsubscriber to step (D) for blocking.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/110,688Filed 3 Dec 2020 · us provisional application
Priority: 3 Dec 2019
Published: US 2021/0168238 A13 Jun 2021
Granted: 27 Jun 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification18 codes

H04M 3/436
Systems providing special services or facilities to subscribers: arrangements for screening incoming calls , i.e. evaluating the characteristics…
H04L 9/06
Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols: the encryption apparatus…
H04L 9/3239
Using cryptographic hash functions: involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD
H04L 63/0227
For separating internal from external traffic, e.g. firewalls: filtering policies