Patent classifications
G06Q30/0248
Isolating And Reinstating Nodes In A Distributed Ledger Using Proof Of Innocence
Aspects of the disclosure relate to isolating and reinstating nodes in a distributed ledger using proof of innocence. In some embodiments, a first plug-in embedded with the blockchain network may monitor consumer-initiated transactions submitted to an enterprise organization node to determine the legitimacy of each consumer-initiated transaction. The first plug-in may identify consumer-initiated transactions associated with malicious activity and may flag the consumer node for further analysis. A second plug-in may identify and analyze the consumer-initiated transactions associated with the consumer node to determine a proof of innocence value associated with the consumer node. The first plug-in may isolate the consumer node from the distributed ledger if the proof of innocence value exceeds a proof of innocence threshold. Alternatively, the first plug-in may permit the consumer node to remain within the distributed ledger if the proof of innocence value falls below the proof of innocence threshold.
DETERMINING FRAUDULENT INDICATIONS OF ADVERTISEMENT INTERACTION BASED ON IDENTITY
An ad publisher provides an online system with user identifying information of users who interacted with an advertisement presented by the ad publisher and indications of interactions with the advertisement. A landing page is associated with the advertisement, and the advertiser provides the online system with user identifiers of users who interacted with the advertisement and requested the landing page. The online system determines whether the ad publisher fraudulently identifies interactions with the advertisement by comparing the user identifying information received from the ad publisher with the user identifiers received from the advertiser.
DIGITAL SIGNAGE AND GAMING SERVICES TO COMPLY WITH FEDERAL AND STATE ALCOHOL AND BEVERAGE LAWS AND REGULATIONS
Methods and systems providing digital signage and interactive gaming services in compliance with federal and state laws and regulations are described. A service fee is collected from a retailer, and a service fee may or may not be collected from a retailer (e.g., a bar). An advertising fee is collected from a first advertising provider. The first advertising provider is involved in alcohol distribution/wholesaling or manufacturing. A second advertising fee from a second advertising provider is collected. The second advertising provider is involved in a non-alcohol related industry. A portion of a subscription fee is collected based on a separate source of fees (e.g., text message or jukebox fee) received from a patron. The message may contain information indicating that the patron wishes to pay a service fee. Revenue sharing is implemented by distributing a portion of the service fee to the retailer and distributing a portion of the advertising fee from the second advertising provider to the retailer in compliance with federal and state laws.
SYSTEMS AND METHODS FOR DETECTING AND PREVENTING FRAUDULENT ACTIVITIES IN DIGITAL ADVERTISING
A system for detecting and preventing fraudulent activities in digital advertising, system including server arrangement that is communicably coupled with a user device. The server arrangement is configured to send a data element of given digital advertisement to the user device; receive user-interaction data from the user device responsive to rendering of the data element at the user device; receive sensor data from the user device, the sensor data being collected by at least one sensor of the user device during generation of user-interaction data; analyse at least one of: a number of taps indicated in user-interaction data, touch pressures during taps, sizes of touch areas on touchscreen during taps, locations of touch areas on touchscreen during taps, time stamps of taps, to detect whether the user of the user device is bot; and perform at least one action when analysis indicates that the user of the user device is bot.
Verifying the rendering of video content at client devices using trusted platform modules
Systems and methods for verifying the rendering of video content on information resources are provided herein. A server can transmit a video content element having a first bit stream corresponding to a predesignated frame to a client device. The client device can identify the first bit stream as corresponding to the predesignated frame. The client device can decode the first bit stream corresponding to the predesignated frame of the video content element to generate a second bit stream. The client device can transmit, to the server, a tracking message including the second bit stream. The server can compare the second bit stream included in the tracking message from the client device with a third bit stream maintained at a database. The server can determine that the video content element is rendered at the client device responsive to the second bit stream matching the third bit stream.
Reducing false positive fraud alerts for online financial transactions
In a method of preventing fraudulent online financial transactions, a request to authorize an online, financial transaction may be received, where the transaction is associated with a debit or credit card account. A computing device at which information associated with the debit or credit card account was entered for the transaction may be identified, and a first geographic location at which the computing device resides may be determined. Based upon geolocation data indicating one or more geographic locations of the authorized cardholder, it may be determined that the authorized cardholder was at a second geographic location at a time of the transaction. If the second geographic location does not correspond to the first geographic location, the financial transaction may be prevented from being executed.
METHODS AND APPARATUS TO REDUCE FALSE CREDITING FROM DELAYED REFERENCE SITES
Methods, apparatus, systems and articles of manufacture are disclosed to reduce false crediting from delayed reference sites. An apparatus includes memory, computer readable instructions, and a processor to execute instructions to generate a list of first media resources mapped to durations of time, the first media resources having corresponding monitored timestamps, the first media resources to represent monitored media exposure, generate a mapping of the durations of time to percentages of total media exposure, the total media exposure corresponds to a sum of the durations of time, determine, based on the mapping, a group of the first media resources that correspond to a threshold percentage of the total media exposure, and determine whether to execute a media crediting process based on whether the group of the first media resources have first timestamps corresponding second timestamps of second media resources stored in memory, the second media resources represent reference media sources.
CROSS-DOMAIN FREQUENCY FILTERS FOR FRAUD DETECTION
This disclosure relates to using probabilistic data structures to enable systems to detect fraud while preserving user privacy. In one aspect, a method includes obtaining a set of frequency filters. Each frequency filter defines a maximum event count for a specified event type over a specified time duration and corresponds to a respective content provider. A subset of the frequency filters are identified as triggered frequency filters for which an actual event count for the specified event type corresponding to the frequency filter exceeds the maximum event count defined by the frequency filter during a time period corresponding to a specified time duration for the frequency filter. A probabilistic data structure that represents at least a portion of the frequency filters in the subset of frequency filters is generated. A request for content is sent to multiple content providers. The request for content includes the probabilistic data structure.
Federated Machine Learning Management
Techniques are disclosed in which a computer system receives, from a plurality of user computing devices, a plurality of device-trained models and obfuscated sets of user data stored at the plurality of user computing devices, where the device-trained models are trained at respective ones of the plurality of user computing devices using respective sets of user data prior to obfuscation. In some embodiments, the server computer system determines similarity scores for the plurality of device-trained models, wherein the similarity scores are determined based on a performance of the device-trained models. In some embodiments, the server computer system identifies, based on the similarity scores, at least one of the plurality of device-trained models as a low-performance model. In some embodiments, the server computer system transmits, to the user computing device corresponding to the low-performance model, an updated model.
Online fraud prevention and detection based on distributed system
Disclosed are an electronic device and a method for controlling same. A method for controlling an electronic device according to the present disclosure comprises: a step of obtaining a program which shares data about an advertisement with another electronic device so as to verify the shared data; a step of, when an event for the advertisement occurs, generating first data including information about the event for the advertisement; a step of transmitting the generated first data to the other electronic device; a step of receiving second data including information about an event from the advertisement generated from the other electronic device; and a step of verifying the second data using the program.