Patents by Inventor Sameer KHANNA

Sameer KHANNA 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: 11971983
    Abstract: Systems, devices, and methods are disclosed in relation to a system for natural language based message categorization designed to identify text from a particular topic from a potentially inexhaustible set of potential topics. In one of many possible implementations, a vector space model is first used to translate text into a vector representation. This vector is used to determine if the text can be recreated by swapping words and phrases from a training corpus of documents. This is done by determining if the vector is within the conical span of the vector representations of the text in the training corpus of documents. Span composition is evaluated by a two vector boolean comparison, enabling great computational complexity and short-circuiting enabling fast real-time topic determination.
    Type: Grant
    Filed: January 6, 2022
    Date of Patent: April 30, 2024
    Assignee: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Publication number: 20230063871
    Abstract: Systems, devices, and methods are disclosed in relation to a system for natural language based message categorization designed to identify text from a particular topic from a potentially inexhaustible set of potential topics. In one of many possible implementations, a vector space model is first used to translate text into a vector representation. This vector is used to determine if the text can be recreated by swapping words and phrases from a training corpus of documents. This is done by determining if the vector is within the conical span of the vector representations of the text in the training corpus of documents. Span composition is evaluated by a two vector boolean comparison, enabling great computational complexity and short-circuiting enabling fast real-time topic determination.
    Type: Application
    Filed: January 6, 2022
    Publication date: March 2, 2023
    Applicant: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Publication number: 20230056064
    Abstract: Systems, methods, devices, and apparatus are discussed for detecting relatively rare attacks in a communication network, and in some cases for detecting insider attacks on a communication network.
    Type: Application
    Filed: August 16, 2022
    Publication date: February 23, 2023
    Inventor: Sameer Khanna
  • Publication number: 20230054138
    Abstract: Systems, devices, and methods are disclosed that may be used for identifying potential insider attacks on a computer network.
    Type: Application
    Filed: August 16, 2022
    Publication date: February 23, 2023
    Applicant: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Publication number: 20230058516
    Abstract: Systems, methods, devices, and apparatus are discussed for generating data that appears to be an insider attack.
    Type: Application
    Filed: August 16, 2022
    Publication date: February 23, 2023
    Applicant: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Publication number: 20230053642
    Abstract: Systems, devices, and methods are disclosed for encoding behavioral information into an image format to facilitate image based behavioral identification.
    Type: Application
    Filed: June 2, 2022
    Publication date: February 23, 2023
    Applicant: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Publication number: 20230053996
    Abstract: Systems, devices, and methods are disclosed in relation to a vector space model that may be used to characterize a category of messages. In one of many possible implementations, the frequency of words found within a piece of text is determined. These frequencies are compared against the frequencies of words within a given corpus like the Oxford English Corpus by first converting the frequencies to probabilities via the inverse cumulative distribution function assuming a normal distribution of frequencies then via taking the absolute difference in frequencies. A small difference reduces the weight of the given word whereas a large weight increases the weight of the word, leading to excellent word ranking for automated feature selection filtering without the need for a negative corpus.
    Type: Application
    Filed: January 6, 2022
    Publication date: February 23, 2023
    Applicant: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Publication number: 20230057125
    Abstract: Systems, devices, and methods are disclosed for encoding behavioral information into an image format to facilitate image based behavioral identification.
    Type: Application
    Filed: June 2, 2022
    Publication date: February 23, 2023
    Applicant: Fortinet, Inc.
    Inventor: Sameer Khanna
  • Patent number: 11569979
    Abstract: Methods, systems and computer program products for improving performance of a cryptographic algorithm are described. First, data to be encrypted/decrypted is provided as input to the system. A primary key, or multiple keys (in case of asymmetric cryptography), is generated for the encryption/decryption process. The primary key consists of metadata as well as key blocks containing secondary keys. The metadata contains information explaining how the data will be handled from algorithmic structure to the base cryptographic scheme to be used. Further, the data is split and processed via relevant portions of the key blocks. Finally, the completed encrypted/decrypted data segments are combined in order to complete the process. The used process ensures higher performance as well as higher algorithmic entropy than comparable methods in literature or on the market.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: January 31, 2023
    Inventor: Sameer Khanna
  • Publication number: 20200389289
    Abstract: Methods, systems and computer program products for improving performance of a cryptographic algorithm are described. First, data to be encrypted/decrypted is provided as input to the system. A primary key, or multiple keys (in case of asymmetric cryptography), is generated for the encryption/decryption process. The primary key consists of metadata as well as key blocks containing secondary keys. The metadata contains information explaining how the data will be handled from algorithmic structure to the base cryptographic scheme to be used. Further, the data is split and processed via relevant portions of the key blocks. Finally, the completed encrypted/decrypted data segments are combined in order to complete the process. The used process ensures higher performance as well as higher algorithmic entropy than comparable methods in literature or on the market.
    Type: Application
    Filed: June 2, 2020
    Publication date: December 10, 2020
    Inventor: Sameer KHANNA