Disclosed herein are system, method, and device embodiments for an authentication workflow incorporating blockchain technology. An embodiment operates by requesting, from a distributed authentication service, transmission of a time-based one-time password to a communication endpoint associated with an end-user, receiving a time-based one-time password submission from a user device associated with the end-user, retrieving a plurality of distributed ledger entries (e.g., a plurality of blocks of a blockchain), and validating the time-based one-time password submission based on the plurality of distributed ledger entries as a part of a two factor authentication workflow.
- Walldorf, DE Steven Garcia - South Riding VA, US Vaibhav Vohra - San Ramon CA, US Rohit Tripathi - San Ramon CA, US Khalid Abdullah - Reston VA, US Noel Ferreira - Sao Paulo, BR Rajat Krishnan - Bangalore, IN Mohit Goel - Delhi, IN
International Classification:
G06Q 10/06 H04W 4/14 H04W 4/029 H04W 4/90
Abstract:
Disclosed herein are system, method, and computer program product embodiments for p providing a risk response and communication system. An embodiment operates by determining that a workflow associated with an organization indicates an action to be taken by a role within the organization upon the detection of an organizational risk. An organizational risk is detected. Contact information associated with the role is determined, wherein the contact information includes a user account. A message notifying the user account associated with the role of the organizational risk is sent, wherein the notification includes an indication to take the action. It is determined whether a response indicating the action has been completed is received within a time threshold. The user account is monitored until either the response is received or the expiration of the time threshold.
- Walldorf, DE Fernando Nakano - Reston VA, US Khalid Abdullah - Ashburn VA, US Kimmo Vuori - Espoo, FI Steven Garcia - South Riding VA, US Vaibhav Vohra - Mountain View CA, US Arturo Buzzalino - Haymarket VA, US Elias Junior Moreira - Rio de Janeiro, BR Bhomik Pande - Bangalore, IN Prakash Shelokar - Pune, IN
International Classification:
H04L 29/08 G06Q 10/06 G06Q 10/10
Abstract:
In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.
- Walldorf, DE Fernando Nakano - Reston VA, US Khalid Abdullah - Ashburn VA, US Kimmo Vuori - Espoo, FI Steven Garcia - South Riding VA, US Vaibhav Vohra - Mountain View CA, US Arturo Buzzalino - Haymarket VA, US Elias Junior Moreira - Rio de Janeiro, BR Bhomik Pande - Bangalore, IN Prakash Shelokar - Pune, IN
International Classification:
H04L 12/24 H04L 29/08 H04L 12/26
Abstract:
In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.
Enhanced Data Collection, Processing, And Analysis Facilities
- Dublin CA, US Arturo Buzzalino - Centreville VA, US Steven Charles Garcia - South Riding VA, US Vaibhav Vohra - Mountain View CA, US Kimmo Olavi Vuori - Espoo, FI
International Classification:
H04W 24/10 H04W 16/18 H04L 12/26
Abstract:
A method and corresponding apparatus configured to collect raw data from a plurality of wireless devices. The raw data includes activity recorded when the wireless devices are at a selected topographic region. The raw data is combined to produce aggregated data representative of the activities of the individual wireless devices. Either the aggregated data or the raw data are selected for analysis depending on whether the raw data meets a threshold activity or subscriber density level. The selected data are analyzed to identify activity patterns of users of the wireless devices.
Enhanced Data Collection, Processing, And Analysis
- Dublin CA, US Khalid Abdullah - Ashburn VA, US Vaibhav Vohra - Mountain View CA, US Arturo Pedro Buzzalino - Haymarket VA, US Kimmo Olavi Vuori - Espoo, FI
International Classification:
G06Q 30/02
Abstract:
A method and corresponding apparatus configured to receive data from a plurality of wireless devices. The collected data includes recorded activity at the wireless devices. The method includes analyzing the collected data to produce demographic data. The analyzing includes calculating, based on the collected data, probabilities of individual steps in a path. Each step represents a visit to a website in the path or a physical location in the path. The demographic data is supplied to a data consumer device.
Enhanced Data Collection, Processing, And Analysis
Steven Charles Garcia - South Riding VA, US Khalid Abdullah - Ashburn VA, US Vaibhav Vohra - Mountain View CA, US Arturo Buzzalino - Haymarket VA, US
International Classification:
G06Q 30/02 H04W 4/02
Abstract:
A method and corresponding apparatus that is configured to receive data from a data producer (such as for example a telecommunications provider like a mobile operator); process (e.g., analyze, aggregate, etc.) the received data; and supply aspects of the results of the processing to a data consumer through for example an array of user interfaces.
Catch all the pics of Shahrukh Khan, Amitabh Bachchan, Aishwarya Rai, Abhishek Bachchan, Deepika Padukone, Ranveer Singh and other Bollywood stars from Ahana Deol and Vaibhav Vohras wedding reception on the following pages.