Xerox Corporation

Mcafee, Inc.

Conduent Business Services, LLC

Juniper Networks, Inc.

Arm Limited

Conduent Business Machines Services, LLC

Abhishek Tripathi

Tirumaleswar Reddy Konda

Nischal Murthy Piratla

Partha Dutta

Koustuv Dasgupta

Piyush Pramod Joshi

Vaibhav Rajan

Avinash Sharma

Yong Luo

Vikram Rautela

Venu Sreenivasa Iyengar

Arpita Biswas

Shashank Mohan Jain

Dattatraya Kulkarni

Sakyajit Bhattacharya

Narayanan Unny Edakunni

Nischal M Piratla

Kuldeep Yadav

Anirban Mondal

Rinku Gajera

Roma Rudra

Urmil Mahendra Parikh

Mayank Bhatnagar

Alefiya Lightwala

Mayur Arvind Bhole

Skanda Vasudevan

Ragavendran Gopalakrishnan

Raghav Goyal

Ranjan Shetty K

Amith Sitaram

Vivek G Raman

Shashank Guruprasad

Nithya Nadig Shikarpur

Methods, apparatus, systems and articles of manufacture are disclosed to analyze telemetry data of a network device for malicious activity. An example apparatus includes an interface to obtain first telemetry data, a rules generator to, using the first telemetry data, generate a global block list using a machine learning model, the machine learning model generated based on a device specific block list and a device specific allow list, and a model manager to transmit the global block list to a gateway, the gateway to facilitate on-path classification of second telemetry data.

Methods and apparatus to analyze telemetry data of a network device for malicious activity

There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface to communicatively couple to a network; and a network gateway engine to identify devices on the network, the network gateway engine including instructions encoded within the memory to instruct the processor to provide two-phase identification for a device newly-identified on the network, including: a static identification phase including applying discovery probes to the newly-identified device; and a dynamic identification phase including collecting network telemetry for the newly-identified device over time and analyzing the collected network telemetry to determine if the network telemetry is consistent with expected network usage for the newly-discovered device.

Device identification

Methods, apparatus, systems and articles of manufacture are disclosed to build privacy preserving models. An example apparatus disclosed herein includes a training manager to generate a first modeling plan for client-side resources, and transmit the first modeling plan to the client-side resources. The example apparatus also includes a data aggregator to search for a primary validation flag in response to retrieving client-side model parameters, and an accuracy calculator to, in response to detecting the primary validation flag, perform a secondary validation corresponding to the client-side model parameters using a server-side ground truth data set, and determine whether to update the global model with the client-side model parameters based on a comparison of results of the secondary validation and a validation threshold.

Methods, systems, articles of manufacture and apparatus to build privacy preserving models

There is disclosed in one example a hardware computing platform, including: a processor; a memory; a network interface; and a security module, including instructions to cause the processor to: receive a request to download a file via the network interface; download a first portion of the file into a buffer of the memory; analyze the first portion for malware characteristics; assign a security classification to the file according to the analysis of the first portion; and act on the security classification.

Scanning of partial downloads

Various implementations described herein are directed to a device with a reset tree having leaf buffers that provide sensed output signals based on a reset-synchronizing input signal. The device may have a first sensor that receives the sensed output signals from the leaf buffers of the reset tree and provides an attack detection signal based on sensing a malicious attack. The device may have a second sensor that receives the reset-synchronizing input signal, receives the attack detection signal from the first sensor and provides a reset alarm signal based on duration of a timing glitch associated with comparing a difference between the reset-synchronizing input signal and the attack detection signal.

Malicious attack detection techniques

The disclosed embodiments illustrate methods and systems for managing parking violations by vehicles in parking areas in real-time. The method includes receiving parking information from one or more sensors installed at each of one or more parking spots in a plurality of parking areas at a specific time. The method includes detecting a parking violation by a vehicle at a parking spot of the one or more parking spots in a parking area. The method includes identifying one or more vehicle identification parameters of the vehicle associated with the detected parking violation. The method includes determining a penalty for the vehicle with the identified one or more vehicle identification parameters. The method includes transmitting the determined penalty to a user-computing device of a user associated with the vehicle with the identified one or more vehicle identification parameters, wherein the user is imposed with the penalty.

Method and system for managing parking violations by vehicles in parking areas in real-time

A method and a system are provided for identifying one or more locations for placement of one or more replenishment stations for one or more vehicles. The method comprises receiving a historical demand data at a plurality of existing replenishment stations within a pre-defined area. The method identifies one or more point of interest locations within the pre-defined area based on a map data. Further, the method receives traffic information between a plurality of road intersections within the pre-defined area. Based on an aggregation of a first demand prediction, a second demand prediction, and a third demand prediction, the method predicts a replenishment demand at a plurality of locations. The method further identifies the one or more locations from the plurality of locations for placement of the one or more replenishment stations based on the predicted replenishment demand at the plurality of locations and a pre-defined threshold.

Method and system for identifying locations for placement of replenishment stations for vehicles

Disclosed are methods and systems for transmitting a first electronic message to an employee. The method further includes generating a first data structure based on one or more first parameters of one or more electronic messages, one or more demographic attributes associated with the employee and one or more second parameters representative of one or more feedbacks provided by the employee on each of the one or more electronic messages other than the first electronic message. The method further includes determining a priority of the first electronic message, wherein the determination of the priority comprises predicting the one or more second parameters associated with the employee for the first electronic message based on the one or more second data structures. The method further includes transmitting the first electronic message to the employee based on the determined priority of the first electronic message.

Methods and systems for transmitting prioritized messages to employees

The present disclosure is directed to systems and methods for context-aware and personalized access to data corresponding to an event. The data is related to multiple predefined parameters including a location, date, time, and a classifier representing a status or an impact intensity for the event. The method includes receiving the data and an event type for the data. The event type is selected from multiple predefined event types. The method also includes creating a hierarchical data structure configured to spatially index the data based on the selected event type. The hierarchical data structure includes a node representing the selected event type. The node is augmented using a linked list for referring to the data to be stored in a database. The node is associated with a frequency of occurrence of the selected event type.

Systems and methods for context-aware and personalized access to visualizations of road events

Disclosed are methods and systems for classifying one or more human subjects in one or more categories indicative of a health condition of the one or more human subjects. The method includes categorizing one or more parameters of each of the one or more human subjects in one or more data views based on a data type of each of the one or more parameters. A data view corresponds to a first data structure storing a set of parameters categorized in the data view, associated with each of the one or more human subjects. The one or more data views are transformed to a second data structure representative of the set of parameters across the one or more data views. Thereafter, a classifier is trained based on the second data structure, wherein the classifier classifies the one or more human subjects in the one or more categories.

Methods and systems for predicting health condition of human subjects

A method includes receiving multicast traffic intended for host devices; identifying a flow associated with the multicast traffic; retrieving information associated with a group of multicast trees, where the group of multicast trees includes information associated with a group of I/O units, associated with a network node; identifying a particular tree that corresponds to the identified flow, where the particular tree includes information associated with a set of I/O units; and transferring the multicast traffic to an I/O unit, of the set of I/O units, based on the identification of the particular tree, where the transferring enables the I/O unit to send a copy of the multicast traffic to other I/O units of the set of I/O units, and the set of I/O units to process the multicast traffic in a manner that utilizes bandwidth or processing resources in a controlled manner and to send a copy of the multicast traffic to each of the host devices.

Managing multicast distribution using multicast trees

A system for facilitating filling at least one unfilled form including at least one data field is disclosed. The system includes a display module configured to display the at least one unfilled form. Further, the system includes a scanning module configured to scan at least one supporting document, a classifier module configured to classify the at least one supporting document into at least one document class, an extracting module configured to extract the information from the at least one supporting document based on the at least one document class, a questionnaire module configured to provide an adaptive questionnaire to obtain additional information, and a form-filling module configured to fill out the at least one unfilled form to obtain at least one filled form. Finally, the system includes a communication module configured to send the at least one filled form over a communication network.

Methods and systems for filling forms

A method, a system, and a computer program product for evaluating a handwritten document comprising one or more text fields are provided. The method includes identifying a character in each of the one or more text fields in a digital image by applying a character recognition technique. The character type of the identified character is then compared with a predefined character type corresponding to the associated text field of the one or more text fields. The character type in each of the one or more text fields is then validated based on the comparison. Thereafter the identified character for each of the one or more text fields is recommended while digitalization of the handwritten document.

Methods and systems for evaluating handwritten documents

Methods and systems for determining one or more routes in a navigation system. A request comprising a first set of parameters corresponding to a trip is received. The first set of parameters comprise at least one an originating node for the trip, a destination node for the trip, a start time for the trip, or a set of preferences associated with the trip. The one or more routes between the originating node and the destination node are determined based on the first set of parameters. Each of the one or more routes comprises at least one public transportation sub-trip traversed by a public vehicle and a private transportation sub-trip traversed by a private vehicle. The one or more routes are ranked based on a trip score associated with the one or more routes. The trip score is determined based on the set of preferences.

Methods and systems for determining routes in a navigation system

A method and system for determining real-time delay information in a transportation system. Historical operational information about the transportation system, including data related to a plurality of arrival events corresponding to one or more stops within the transportation system is received and a dependency graph is built based upon the historic information. The dependency graph defines relationships that exist in the transportation system between the plurality of arrival events, each of the relationships defining a specific dependent relationship between at least two of the arrival events. Delay dependency values are fitted into the dependency graph, each of the delay dependency values being associated with one of the plurality of relationships and defining a specific dependency value associated with that relationship. Predictive delay information is determined based upon the fitted dependency graph for one or more of the arrival events based upon current operating information.

Growing community of inventors

Bengaluru, India

Abhishek Tripathi