Patents by Inventor Raj Vardhan

Raj Vardhan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11934350
    Abstract: Disclosed examples include receiving an indication that a file is designated as a favorite file from a user device; retrieving the file from a remote location; storing the file as a first favorite file on a favorites storage device; re-retrieving the file from the remote location; and updating the first favorite file with the re-retrieved file.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: March 19, 2024
    Assignee: McAfee, LLC
    Inventors: Kranthikumar Gadde, Mitesh Kumar, Kamlesh Halder, Raj Vardhan, Srikanth Nalluri, Dattatraya Kulkarni, Susmita Nayak, Krishnapur Venkatasubrahmanyam
  • Patent number: 11489804
    Abstract: Particular embodiments described herein provide for system that can be configured to deliver a notification to a user based on the user's preference for each device that receives the notification. The user's preference is based on how the user interacted with similar notifications in the past and the system can change how it will deliver similar notifications to the user in the future based on how the user interacts with the notification.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: November 1, 2022
    Assignee: McAfee, LLC
    Inventors: Raj Vardhan, Arvind Sankarasubramanian, Kranthi Kumar Gadde, Srikanth Nalluri, Dattatraya Kulkarni
  • Patent number: 11418513
    Abstract: A system for controlling accesses to network enabled devices includes a network interface over which a hub communicates with network enabled devices, a processor, and a multilayer access control layer. The access control layer includes instructions that, when executed by the processor, cause the processor to detect, at the hub, a request representing an attempt by an application executing on a remote host device to access a network enabled device communicatively coupled to the hub, characterize the request according to a user of the remote host device, the application making the attempt, and the network enabled device, and determine whether to allow or deny the request based upon the characterization and a plurality of rules. The rules may include definitions of access rights, with respect to the network enabled device, for users, applications, commands or queries made by applications, remote host devices, and network domains.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: August 16, 2022
    Assignee: McAfee, LLC
    Inventors: Himanshu Srivastava, Dattatraya Kulkarni, Srikanth Nalluri, Krishnapur N. Venkatasubrahmanyam, Kamlesh Halder, Raj Vardhan
  • Patent number: 11397761
    Abstract: A mobile device including: a position locator; a user data engine; and a reputation engine client configured to: receive a location from the position locator; operate the user data engine to provide a user profile, intent, and context data for a user, the context data including dynamic factors about the user, and the profile including relative factors about the user that are relatively static with respect to the context data from the user data engine; and determine a reputation for the location, wherein the reputation is based at least in part on a combination of the user profile, intent, and context.
    Type: Grant
    Filed: October 2, 2017
    Date of Patent: July 26, 2022
    Assignee: McAfee, LLC
    Inventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan
  • Patent number: 11297084
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to perform malware detection using a generative adversarial network. An example apparatus includes a first encoder network to encode an input sample into a first encoded sample, the first encoder network implemented using a multilayer perception (MLP) network, a generator network to reconstruct the first encoded sample to generate a reconstructed sample, a discriminator network to, in response to obtaining the first encoded sample and the reconstructed sample, generate a loss function based on the reconstructed sample and the input sample, and an optimization processor to, when the loss function satisfies a threshold loss value, classify the input sample as malicious.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: April 5, 2022
    Assignee: MCAFEE, LLC
    Inventors: Yonghong Huang, Raj Vardhan, Celeste Fralick
  • Patent number: 11200318
    Abstract: Methods and apparatus to detect adversarial malware are disclosed. An example adversarial malware detector includes a machine learning engine to classify a first feature representation representing features of a program as benign or malware, a feature perturber to, when the first feature representation is classified as benign, remove a first one of the features to form a second feature representation, and a decider to classify the program as adversarial malware when the machine learning engine classifies the second feature representation as malware.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: December 14, 2021
    Assignee: McAfee, LLC
    Inventors: Yonghong Huang, Raj Vardhan, Celeste R. Fralick, Gabriel G. Infante-Lopez, Dattatraya Kulkarni, Srikanth Nalluri, Sonam Bothra
  • Publication number: 20210312050
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.
    Type: Application
    Filed: April 26, 2021
    Publication date: October 7, 2021
    Inventors: Dattatraya Kulkarni, Himanshu Srivastava, Raj Vardhan, Raja Sinha, Srikanth Nalluri, Tirumaleswar Reddy Konda
  • Patent number: 10990679
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.
    Type: Grant
    Filed: May 7, 2018
    Date of Patent: April 27, 2021
    Assignee: McAfee, LLC
    Inventors: Dattatraya Kulkarni, Himanshu Srivastava, Raj Vardhan, Raja Sinha, Srikanth Nalluri, Tirumaleswar Reddy Konda
  • Publication number: 20210105241
    Abstract: Particular embodiments described herein provide for system that can be configured to deliver a notification to a user based on the user's preference for each device that receives the notification. The user's preference is based on how the user interacted with similar notifications in the past and the system can change how it will deliver similar notifications to the user in the future based on how the user interacts with the notification.
    Type: Application
    Filed: December 18, 2020
    Publication date: April 8, 2021
    Applicant: McAfee, LLC
    Inventors: Raj Vardhan, Arvind Sankarasubramanian, Kranthi Kumar Gadde, Srikanth Nalluri, Dattatraya Kulkarni
  • Publication number: 20210099474
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to perform malware detection using a generative adversarial network. An example apparatus includes a first encoder network to encode an input sample into a first encoded sample, the first encoder network implemented using a multilayer perception (MLP) network, a generator network to reconstruct the first encoded sample to generate a reconstructed sample, a discriminator network to, in response to obtaining the first encoded sample and the reconstructed sample, generate a loss function based on the reconstructed sample and the input sample, and an optimization processor to, when the loss function satisfies a threshold loss value, classify the input sample as malicious.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 1, 2021
    Inventors: Yonghong Huang, Raj Vardhan, Celeste Fralick
  • Patent number: 10887266
    Abstract: Particular embodiments described herein provide for system that can be configured to deliver a notification to a user based on the user's preference for each device that receives the notification. The user's preference is based on how the user interacted with similar notifications in the past and the system can change how it will deliver similar notifications to the user in the future based on how the user interacts with the notification.
    Type: Grant
    Filed: July 2, 2016
    Date of Patent: January 5, 2021
    Assignee: McAfee, LLC
    Inventors: Raj Vardhan, Arvind Sankarasubramanian, Kranthi Kumar Gadde, Srikanth Nalluri, Dattatraya Kulkarni
  • Publication number: 20200367059
    Abstract: A system for controlling accesses to network enabled devices includes a network interface over which a hub communicates with network enabled devices, a processor, and a multilayer access control layer. The access control layer includes instructions that, when executed by the processor, cause the processor to detect, at the hub, a request representing an attempt by an application executing on a remote host device to access a network enabled device communicatively coupled to the hub, characterize the request according to a user of the remote host device, the application making the attempt, and the network enabled device, and determine whether to allow or deny the request based upon the characterization and a plurality of rules. The rules may include definitions of access rights, with respect to the network enabled device, for users, applications, commands or queries made by applications, remote host devices, and network domains.
    Type: Application
    Filed: July 31, 2020
    Publication date: November 19, 2020
    Inventors: Himanshu Srivastava, Dattatraya Kulkarni, Srikanth Nalluri, Krishnapur N. Venkatasubrahmanyam, Kamlesh Halder, Raj Vardhan
  • Patent number: 10735965
    Abstract: A system for controlling accesses to network enabled devices includes a network interface over which a hub communicates with network enabled devices, a processor, and a multilayer access control layer. The access control layer includes instructions that, when executed by the processor, cause the processor to detect, at the hub, a request representing an attempt by an application executing on a remote host device to access a network enabled device communicatively coupled to the hub, characterize the request according to a user of the remote host device, the application making the attempt, and the network enabled device, and determine whether to allow or deny the request based upon the characterization and a plurality of rules. The rules may include definitions of access rights, with respect to the network enabled device, for users, applications, commands or queries made by applications, remote host devices, and network domains.
    Type: Grant
    Filed: October 6, 2016
    Date of Patent: August 4, 2020
    Assignee: McAfee, LLC
    Inventors: Himanshu Srivastava, Dattatraya Kulkarni, Srikanth Nalluri, Krishnapur N. Venkatasubrahmanyam, Kamlesh Halder, Raj Vardhan
  • Publication number: 20200210575
    Abstract: Methods and apparatus to detect adversarial malware are disclosed. An example adversarial malware detector includes a machine learning engine to classify a first feature representation representing features of a program as benign or malware, a feature perturber to, when the first feature representation is classified as benign, remove a first one of the features to form a second feature representation, and a decider to classify the program as adversarial malware when the machine learning engine classifies the second feature representation as malware.
    Type: Application
    Filed: December 28, 2018
    Publication date: July 2, 2020
    Inventors: Yonghong Huang, Raj Vardhan, Celeste R. Fralick, Gabriel G. Infante-Lopez, Dattatraya Kulkarni, Srikanth Nalluri, Sonam Bothra
  • Patent number: 10530720
    Abstract: In an example, there is disclosed a computing apparatus, including a user notification interface; a context interface; and one or more logic elements forming a contextual privacy engine operable to: receive a notification; receive a context via the context interface; apply the context to the notification via a notification rule; and take an action via the user notification interface based at least in part on the applying. The contextual privacy engine may also be operable to mathematically incorporate user feedback into the notification rule. There is also described a method of providing a contextual privacy engine, and one or more computer-readable storage mediums having stored thereon executable instructions for providing a contextual privacy engine.
    Type: Grant
    Filed: August 27, 2015
    Date of Patent: January 7, 2020
    Assignee: McAfee, LLC
    Inventors: Raj Vardhan, Igor Tatourian, Dattatraya Kulkarni, Jeremy Bennett, Samrat Chitta, Reji Gopalakrishnan, Muralitharan Chithanathan
  • Publication number: 20190340360
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.
    Type: Application
    Filed: May 7, 2018
    Publication date: November 7, 2019
    Inventors: Dattatraya Kulkarni, Himanshu Srivastava, Raj Vardhan, Raja Sinha, Srikanth Nalluri, Tirumaleswar Reddy Konda
  • Publication number: 20190138497
    Abstract: Disclosed examples include receiving an indication that a file is designated as a favorite file from a user device; retrieving the file from a remote location; storing the file as a first favorite file on a favorites storage device; re-retrieving the file from the remote location; and updating the first favorite file with the re-retrieved file.
    Type: Application
    Filed: December 28, 2018
    Publication date: May 9, 2019
    Inventors: Kranthikumar Gadde, Mitesh Kumar, Kamlesh Halder, Raj Vardhan, Srikanth Nalluri, Dattatraya Kulkarni, Susmita Nayak, Krishnapur Venkatasubrahmanyam
  • Patent number: 10204109
    Abstract: Distributed favorite files are stored in a favorite storage device. An agent dynamically monitors usage statistics for a plurality of files, wherein the plurality of files are located on a plurality of devices, designates a first file of the plurality of files as a favorite file based on usage statistics for the first file, and in response to designating the first file as a favorite file, stores a copy of the first file on a favorites storage device.
    Type: Grant
    Filed: November 23, 2015
    Date of Patent: February 12, 2019
    Assignee: McAfee, LLC
    Inventors: Kranthikumar Gadde, Mitesh Kumar, Kamlesh Halder, Raj Vardhan, Srikanth Nalluri, Dattatraya Kulkarni, Susmita Nayak, Krishnapur Venkatasubrahmanyam
  • Publication number: 20180025030
    Abstract: A mobile device including: a position locator; a user data engine; and a reputation engine client configured to: receive a location from the position locator; operate the user data engine to provide a user profile, intent, and context data for a user, the context data including dynamic factors about the user, and the profile including relative factors about the user that are relatively static with respect to the context data from the user data engine; and determine a reputation for the location, wherein the reputation is based at least in part on a combination of the user profile, intent, and context.
    Type: Application
    Filed: October 2, 2017
    Publication date: January 25, 2018
    Applicant: McAfee, Inc.
    Inventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan
  • Patent number: 9817843
    Abstract: In an example, one or more computing devices operate to provide a context-aware reputation of a place, such as in relation to a human user. Context may include the user's identity and purpose, as well as environmental factors such as time of day, weather, and political drivers. The device may communicate with a server to receive globalized safety intelligence. When the user enters a zone, the device may determine a context-sensitive reputation, such as “Green,” “Yellow,” or “Red.” Depending on the reputation, the device may then take an appropriate action, such as warning the user or providing additional information.
    Type: Grant
    Filed: September 26, 2014
    Date of Patent: November 14, 2017
    Assignee: McAfee, Inc.
    Inventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan