Patents by Inventor Kaushal Kumar Dhruw

Kaushal Kumar Dhruw 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: 10417417
    Abstract: The present disclosure relates to a system and method for performing antimalware scanning of data files that is data-centric rather than device-centric, In the example, a plurality of computing devices are connected via a network. An originating device creates or first receives data, and scans the data for malware, After scanning the data, the originating device creates and attaches to the data a metadata record including the results of the malware scan, The originating device may also scan the data for malware contextually-relevant to a second device.
    Type: Grant
    Filed: December 13, 2013
    Date of Patent: September 17, 2019
    Assignee: McAfee, LLC
    Inventors: Dattatraya Kulkarni, Srikanth Nalluri, Kamlesh Halder, Venkatasubrahmanyam Krishnapur, Sailaja K. Shankar, Kaushal Kumar Dhruw
  • Publication number: 20190171835
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for secure distributed backup for personal device and cloud data. An example method disclosed herein includes, in response to a request for a file from a client device, obtaining a map corresponding to the file from a remote device, and requesting, by executing an instruction with a processor, a first file chunk from a first cloud storage location based on the map. The example method further includes requesting, by executing an instruction with the processor, a second file chunk from a second cloud storage location based on the map, and generating, by executing an instruction with the processor, the file by combining the first file chunk and the second file chunk. The example method also includes causing transmission of the file to the client device.
    Type: Application
    Filed: January 21, 2019
    Publication date: June 6, 2019
    Inventors: Mitesh Kumar, Srikanth Nalluri, Dattatraya Kulkarni, Kamlesh Halder, Kranthikumar Gadde, Kaushal Kumar Dhruw, Krishnapur Venkatasubrahmanyam, Susmita Nayak
  • Patent number: 10198589
    Abstract: Securely distributing a backup file includes identifying a file to be stored, generating a plurality of file chunks from the file, transmitting from a first device, each of the plurality of file chunks to one of a plurality of storage locations, and generating, at the first device, a map that identifies the storage location for each chunk. Retrieving a distributed backup file includes receiving a request to retrieve a file, obtaining a map corresponding to the file, wherein the map identifies a storage location for each of a plurality of file chunks of the file, retrieving the plurality of file chunks from the identified locations, and generating the requested file by combining the plurality of file chunks.
    Type: Grant
    Filed: December 23, 2015
    Date of Patent: February 5, 2019
    Assignee: McAfee, LLC
    Inventors: Mitesh Kumar, Srikanth Nalluri, Dattatraya Kulkarni, Kamlesh Halder, Kranthikumar Gadde, Kaushal Kumar Dhruw, Krishnapur Venkatasubrahmanyam, Susmita Nayak
  • Publication number: 20190026464
    Abstract: Code of a particular application is analyzed against a semantic model of a software development kit of a particular platform. The semantic model associates a plurality of application behaviors with respective application programming interface (API) calls of the particular platform. A set of behaviors of the particular application is identified based on the analysis of the code and a particular one of the set of behaviors is identified as an undesired behavior. The particular application can be automatically modified to remediate the undesired behavior. The particular application can be assigned to one of a plurality of device modes, and access to the particular application on a user device can be based on which of the plurality of device modes is active on the user device.
    Type: Application
    Filed: September 21, 2018
    Publication date: January 24, 2019
    Applicant: McAfee, LLC
    Inventors: Srikanth Nalluri, Dattatraya Kulkarni, Raja Sinha, Venkatasubrahmanyam Krishnapur, Kaushal Kumar Dhruw, Kamlesh Halder
  • Patent number: 10114950
    Abstract: Code of a particular application is analyzed against a semantic model of a software development kit of a particular platform. The semantic model associates a plurality of application behaviors with respective application programming interface (API) calls of the particular platform. A set of behaviors of the particular application is identified based on the analysis of the code and a particular one of the set of behaviors is identified as an undesired behavior. The particular application can be automatically modified to remediate the undesired behavior. The particular application can be assigned to one of a plurality of device modes, and access to the particular application on a user device can be based on which of the plurality of device modes is active on the user device.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: October 30, 2018
    Assignee: McAfee, LLC.
    Inventors: Srikanth Nalluri, Dattatraya Kulkarni, Raja Sinha, Venkatasubrahmanyam Krishnapur, Kaushal Kumar Dhruw, Kamlesh Halder
  • Patent number: 9936018
    Abstract: To provide a more seamless experience across multiple devices, task streaming systems and methods allow a user to create “task-contexts” and manage metadata of files stored across multiple data storage devices and user preferences associated with capabilities of the multiple devices for operating on the file. Furthermore, the task streaming systems and methods are provided to allow task-contexts to be shared from one device to another device. A task-context specifies one or more files and one or more operations to be performed on the one or more files. By providing a task-context from one device to the other device, a user can accomplish a task with a particular file and seamlessly transition between devices with minimal disruption and effort.
    Type: Grant
    Filed: December 14, 2013
    Date of Patent: April 3, 2018
    Assignee: McAfee, LLC
    Inventors: Dattatraya Kulkarni, Srikanth Nalluri, Kamlesh Halder, Venkatasubrahmanyam Krishnapur, Shailaja Shankar, Kaushal Kumar Dhruw, Kranthikumar Gadde
  • Publication number: 20180089431
    Abstract: Code of a particular application is analyzed against a semantic model of a software development kit of a particular platform. The semantic model associates a plurality of application behaviors with respective application programming interface (API) calls of the particular platform. A set of behaviors of the particular application is identified based on the analysis of the code and a particular one of the set of behaviors is identified as an undesired behavior. The particular application can be automatically modified to remediate the undesired behavior. The particular application can be assigned to one of a plurality of device modes, and access to the particular application on a user device can be based on which of the plurality of device modes is active on the user device.
    Type: Application
    Filed: July 18, 2017
    Publication date: March 29, 2018
    Inventors: Srikanth Nalluri, Dattatraya Kulkarni, Raja Sinha, Venkatasubrahmanyam Krishnapur, Kaushal Kumar Dhruw, Kamlesh Halder
  • Publication number: 20170195865
    Abstract: A safety event is determined as affecting a user based at least in part context data collected at a user device associated with the user. In some aspects, context data is detected from sensors on the client device, the context data describing a present context of the user. A deviation of the present context from a historical context is determined to be beyond a threshold. Determining that the deviation is beyond the threshold can be determined to correspond to a safety event potentially jeopardizing safety of the user. In some aspects, an action can be launched in response to determining the safety event.
    Type: Application
    Filed: November 10, 2016
    Publication date: July 6, 2017
    Inventors: Srikanth Nalluri, Dattatraya Kulkarni, Raja Sinha, Venkatasubrahmanyam Krishnapur, Yogesh Jain, Kaushal Kumar Dhruw, Kamlesh Halder
  • Publication number: 20160196218
    Abstract: Securely distributing a backup file includes identifying a file to be stored, generating a plurality of file chunks from the file, transmitting from a first device, each of the plurality of file chunks to one of a plurality of storage locations, and generating, at the first device, a map that identifies the storage location for each chunk. Retrieving a distributed backup file includes receiving a request to retrieve a file, obtaining a map corresponding to the file, wherein the map identifies a storage location for each of a plurality of file chunks of the file, retrieving the plurality of file chunks from the identified locations, and generating the requested file by combining the plurality of file chunks.
    Type: Application
    Filed: December 23, 2015
    Publication date: July 7, 2016
    Inventors: Mitesh Kumar, Srikanth Nalluri, Dattatraya Kulkarni, Kamlesh Halder, Kranthikumar Gadde, Kaushal Kumar Dhruw, Krishnapur Venkatasubrahmanyam, Susmital Nayak
  • Publication number: 20160188878
    Abstract: The present disclosure relates to a system and method for performing antimalware scanning of data files that is data-centric rather than device-centric, In the example, a plurality of computing devices are connected via a network. An originating device creates or first receives data, and scans the data for malware, After scanning the data, the originating device creates and attaches to the data a metadata record including the results of the malware scan, The originating device may also scan the data for malware contextually-relevant to a second device.
    Type: Application
    Filed: December 13, 2013
    Publication date: June 30, 2016
    Applicant: McAfee, Inc.
    Inventors: DATTATRAYA KULKARNI, SRIKANTH NALLURI, KAMLESH HALDER, VENKATASUBRAHMANYAM KRISHNAPUR, SHAILAJA SHANKAR, KAUSHAL KUMAR DHRUW
  • Publication number: 20150245189
    Abstract: A safety event is determined as affecting a user based at least in part context data collected at a user device associated with the user. In some aspects, context data is detected from sensors on the client device, the context data describing a present context of the user. A deviation of the present context from a historical context is determined to be beyond a threshold. Determining that the deviation is beyond the threshold can be determined to correspond to a safety event potentially jeopardizing safety of the user. In some aspects, an action can be launched in response to determining the safety event.
    Type: Application
    Filed: October 18, 2013
    Publication date: August 27, 2015
    Inventors: Srikanth Nalluri, Dattatraya Kulkarni, Raja Sinha, Venkatasubrahmanyam Krishnapur, Venkata Krishnan Nagarajan, Yogesh Jain, Kaushal Kumar Dhruw, Kamlesh Halder
  • Publication number: 20150220734
    Abstract: Code of a particular application is analyzed against a semantic model of a software development kit of a particular platform. The semantic model associates a plurality of application behaviors with respective application programming interface (API) calls of the particular platform. A set of behaviors of the particular application is identified based on the analysis of the code and a particular one of the set of behaviors is identified as an undesired behavior. The particular application can be automatically modified to remediate the undesired behavior. The particular application can be assigned to one of a plurality of device modes, and access to the particular application on a user device can be based on which of the plurality of device modes is active on the user device.
    Type: Application
    Filed: October 18, 2013
    Publication date: August 6, 2015
    Inventors: Srikanth Nalluri, Dattatraya Kulkarni, Raja Sinha, Venkatasubrahmanyam Krishnapur, Venkata Krishnan Nagarajan, Kaushal Kumar Dhruw, Kamlesh Halder