Ebay, Incorporated

Paypal, Inc.

Laura Wong

Sergiy Pereshyvaylo

Eric Noel Billingsley

Daniel Tsun Kao

Srikala Munamala

Hemant Tamhankar

Ping Zou

Hemal Doshi

Yaeli Cohen

Novalina Nursalim

Shio-Hsien Hubert Tai

Harith Al Anbari

Shriram Sundaravalli

Sheio-Hsien Tai

There are provided systems and methods for risk analysis for fraud detection for electronic transaction processing flows. An entity, such as a user, business, or other personal or commercial entity, may interact with another entity in order to engage in a transaction, for example, a purchase, transfer, or other transaction process. The first entity may utilize a service provider to engage in transaction processing, which may provide multiple flows that govern the features provided to the entities. Such features may include fees required for transaction processing. In order to ensure that the entities do not fraudulently choose a flow type that decreases or cancels fees due, or does not provide certain protections to other parties, a risk analysis of the transaction and the account may be executed based on accessible historical data and identifiers. Thus, the entities may automatically be entered to one flow over another based on the risk analysis.

Risk analysis and fraud detection for electronic transaction processing flows

Methods and systems to process a request received at an application program interface are described. The system receives a request from a client machine that includes a job that is associated with data. The request is received at an application program interface. Next, a peer-to-peer network of processing nodes generates a plurality of sub-jobs based on the job. The peer-to-peer network of processing nodes schedules the plurality of sub-jobs for parallel processing based on an availability of resources that are respectively utilized by the sub-jobs and parallel processes the plurality of sub-jobs before generating task results that are respectively associated with the plurality of sub-jobs.

Systems and methods to process a request received at an application program interface

Systems and methods for publishing information to a plurality of software applications are provided. The methods may comprise identifying a plurality of records based on a last sequential identification code in a high watermark table of a persistent store. The plurality of records may be generated subsequent to a previous record corresponding to the last sequential identification code. A plurality of corresponding messages each corresponding to a record of the plurality of records may be prepared. Each of those messages may then be transmit to at least one software application and may include a most recent message corresponding to a most recent record. In the high water mark table of the persistent store, an updated last sequential identification code may be stored as a pointer for subsequent reference. The updated last sequential identification code may correspond to the most recent message transmitted in the plurality of corresponding messages.

Publication of informational messages to software applications in a computing environment

A 'push' based publication model in which messages are sent automatically to communicate event related data to other system applications when an event occurs that causes a change to a persistent data store. A shadow table stores records relating to information stored in the main table. Each record is assigned a sequentially ordered identification code. A high water mark table stores the identification number of the last message published for a group of messages, and thus points to where publication last stopped. By using sequentially ordered codes, it is readily apparent from a gap in the sequence codes whether a record/message is missing. The shadow table may be configured as an Index Ordered Table to eliminate a query 'hop' from the index table to the shadow table. The persistent store is queried to identify changes in persistent store structure, and the message structure is modified automatically to reflect any changes.

Growing community of inventors

San Jose, CA, United States of America

Laura Wong