Verizon Patent and Licensing Inc.

Oath Inc.

Yahoo Assets LLC

Verizon Media Inc.

Aol Inc.

Yahoo Ad Tech LLC

Lachlan Ahren Maxwell

Donald Jeffrey McQueen

Dante John Pacella

Mani Tadayon

Ashish Sardesai

Jean M McManus

Venkata Josyula

Lee Edward Sattler

William C Wakefield, Iii

Saravanan Mallesan

Donald J Mcqueen

George Fletcher

Andrew Braksator

Paul S Rock

James Sargent

Jean-Jacques Moortgat

Michael Adkins

Ding Xiao

Sylvia Margot Romary

Travis Adam Walker

Systems and methods are disclosed for identifying human users on a network. One method includes receiving network data comprising data transmitted over a network over predetermined time period, the network data comprising a plurality of usernames and a plurality of events, wherein each of the plurality of events is associated with at least one of the plurality of usernames; determining a plurality of pairs, each pair of the plurality of pairs comprising a username of the plurality of usernames and an associated event of the plurality of events; determining qualifying pairs of the plurality of pairs, the qualifying pairs corresponding to a subset of the plurality of pairs that meet or exceed one or more predetermined event frequency thresholds; determining non-qualifying pairs of the plurality of pairs, the non-qualifying pairs corresponding to the subset of the plurality of pairs that do not meet or exceed one or more predetermined event frequency thresholds; generating at least one distribution associated with the qualifying pairs and non-qualifying pairs; and based on the at least one distribution, determining if at least one username of the plurality of usernames is associated with a human user or a non-human user.

Systems and methods for analyzing network data to identify human and non-human users in network communications

Systems and methods are disclosed for determining if an account identifier is computer-generated. One method includes receiving the account identifier, dividing the account identifier into a plurality of fragments, and determining one or more features of at least one of the fragments. The method further includes determining the commonness of at least one of the fragments, and determining if the account identifier is computer-generated based on the features of at least one of the fragments, and the commonness of at least one of the fragments.

Machine learning and validation of account names, addresses, and/or identifiers

Systems, methods, and computer-readable media are provided for pairing users for electronic communications over a network. In accordance with one implementation, a method is provided for pairing users that request a chat encounter or other form of electronic communication. The operations of the method include receiving a request from a first user and calculating a plurality of pairing scores, each pairing score based on a collaborative filtering score. The method further includes selecting a second user based on the plurality of pairing scores and pairing the first user with the second user to enable electronic communications.

Pairing systems and methods for electronic communications

The present teaching relates to method, system, medium, and implementations for authenticating a user. A first request is received to set up authentication information with respect to a user, wherein the first request specifies a type of information to be used for future authentication of the user. It is determined whether the type of information related to the user poses risks based on a reverse information search result. The type of information for being used for future authentication of the user is rejected when the type of information is determined to pose risks.

Biometric based self-sovereign information management based on reverse information search

Systems and methods for blockchain ledger growth management using separation of a blockchain ledger into multiple blockchain ledgers (each ledger having a state that can be tracked and used). The systems and methods also include linking the separated ledgers by utilizing a linking application and smart contracts added to the separated ledgers.

Blockchain ledger growth management

Systems and methods are disclosed for cryptographic signing of content requests. One method includes receiving, at a content network, a content request from a publisher website, the publisher website purporting to be associated with a publisher domain. At the content network, a public key may be received associated with the publisher domain. At the content network, at least one policy may be received associated with the publisher domain. It may be determined whether the content request comprises a cryptographic signature. If it is determined that the content request does not comprise a cryptographic signature, content may or may not be provided to the publisher website according to the policy from the publisher domain. If it is determined that the content request comprises a cryptographic signature, the cryptographic signature of the request may be validated using the public key. Upon successfully validating the cryptographic signature of the content request, content maybe provided to the publisher website according to the content request.

Systems and methods for electronic signing of electronic content requests

Systems and methods are disclosed for identifying malicious traffic associated with a website. One method includes receiving website traffic metadata comprising a plurality of variables, the website traffic metadata being associated with a plurality of website visitors to the website; determining a total number of occurrences associated with at least two of the plurality of variables of the website traffic metadata; generating a plurality of pairs comprising combinations of the plurality of variables of the website traffic metadata; determining a total number of occurrences associated with each pair of the plurality of pairs of combinations of the plurality of variables of the website traffic metadata; determining a plurality of visitor actions associated with the plurality of variables of the website traffic metadata; clustering each of the plurality of pairs and the plurality of visitor actions associated with the plurality of variables of the website traffic metadata into groups; and determining, based on the clustering of the plurality of pairs and the plurality of visitor actions, whether each of the plurality of website visitors are malicious visitors.

Systems and methods for network traffic analysis

Systems and methods are disclosed for utilizing sender-recipient pair data to establish sender-level trust in future communication. One method comprises receiving raw communication data over a network and testing the received raw communication data against trained machine learning data to predict whether the raw communication data is associated with expected communication data. The raw communication data is sorted for expected communication data, which is further analyzed for sender-recipient pair data and assigned an expected communication pair data score. Senders associated with an expected communication pair data score that meets or exceeds a threshold are labeled and stored in a database as trusted. As a result of the sender-recipient pair analysis, recipients at-risk for being scammed can be identified, senders misidentified as spammers can be properly classified, and machine learning techniques utilized for analyzing raw communication data can be fine-tuned.

Systems and methods for establishing sender-level trust in communications using sender-recipient pair data

Technologies for compressing a blockchain. In some examples, the technologies include removing selected blocks within a blockchain, and replacing the selected blocks with a summary block and a padding block. Each block of the selected blocks includes data in a certain state (such as data in an obsolete state). The technologies can include generating the summary block and padding blocks according to the data in the selected blocks and an original root hash included in the selected blocks and other blocks of the blockchain. The generating of the summary and padding blocks can include generating a new root hash in the summary and padding blocks that only replaces the original root hash in the summary and padding blocks. The generation of the new root hash can be based on a part of a header of a non-selected block of the blockchain directly linked to an end block of selected blocks.

Blockchain compression using summary and padding blocks

The present teaching relates to method, system, medium, and implementation for secure data management by a service provider. A request is first received for carrying out a transaction with a user and one or more data items associated with the user are then determined that need to be validated prior to the transaction. A request is then sent to the user seeking to validate the one or more data items. When a cloaked identifier is received from the user with information related to a trusted party, the cloaked identifier is then sent to the trusted party with a request for a validation response. When the validation response is received with an indication that the one or more data items are validated, the transaction with the user is carried out.

Growing community of inventors

Ashburn, VA, United States of America

Lachlan Ahren Maxwell