Patents by Inventor Daniel NEGRON

Daniel NEGRON 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: 11580248
    Abstract: Techniques for providing data loss prevention, including data exfiltration prevention and crypto-ransomware prevention, are provided. In some embodiments, a slack-space file system is created by using a modified packing algorithm to increase and/or optimize an amount of slack space created by files stored in a standard file system. A program for accessing and indexing the slack-space file system may be stored, and requests by a user to store data on a storage medium of a computer system may cause the information to be stored in the slack-space file system, where it may be protected from destructive malware that operates solely on the standard file system. In some embodiments, sensitive information may be hidden by storing the information in an alternate data stream of a file and by replacing the information in the unnamed data stream of the file with non-sensitive information that may appear to be sensitive.
    Type: Grant
    Filed: February 8, 2021
    Date of Patent: February 14, 2023
    Assignee: NOBLIS, INC.
    Inventors: Matthew K. Monaco, Daniel Negron, Brian Satira
  • Patent number: 11037654
    Abstract: Techniques for identifying and/or classifying genomic information are provided. In some embodiments, genomic information may be identified by computing systems without access to a database of reference genomic information, instead relying on locally stored probabilistic data structures representing reference genomic information. Query genomic data, such as data taken from a read-set, may be divided into sub-strings, and each of the locally-stored probabilistic data structures may be queried by each of the extracted sub-strings, generating probabilistic outputs indicating either that (a) the sub-string is probably included in the set of data represented by the probabilistic data structure or (b) the sub-string is definitely not included in the set of data. Based on the number and/or proportion of sub-strings from a read-set that are indicated as being likely represented by a probabilistic data structure, a likely identity or classification for the genomic information in the read-set may be determined.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: June 15, 2021
    Assignee: NOBLIS, INC.
    Inventors: Masooda Omari, Tyler W. Barrus, Mark Sanders, Daniel Negron
  • Publication number: 20210165904
    Abstract: Techniques for providing data loss prevention, including data exfiltration prevention and crypto-ransomware prevention, are provided. In some embodiments, a slack-space file system is created by using a modified packing algorithm to increase and/or optimize an amount of slack space created by files stored in a standard file system. A program for accessing and indexing the slack-space file system may be stored, and requests by a user to store data on a storage medium of a computer system may cause the information to be stored in the slack-space file system, where it may be protected from destructive malware that operates solely on the standard file system. In some embodiments, sensitive information may be hidden by storing the information in an alternate data stream of a file and by replacing the information in the unnamed data stream of the file with non-sensitive information that may appear to be sensitive.
    Type: Application
    Filed: February 8, 2021
    Publication date: June 3, 2021
    Applicant: NOBLIS, INC.
    Inventors: Matthew K. MONACO, Daniel NEGRON, Brian SATIRA
  • Patent number: 10924502
    Abstract: Techniques for providing network security and anomaly detection are disclosed. In some embodiments, network traffic may be monitored in order to create a model of network traffic over a first period of time. Based on the model of network traffic, one or more inflated files may be created and stored on a system, wherein the inflated files are of a sufficient file size such that attempts to exfiltrate one or more of the files may be detected based by network monitoring tools. The inflated files may further include one or more indicators of sensitivity, including indicators of the presence of sensitive information that is not actually included in the inflated files. Network traffic characteristics may then be repeatedly or continuously monitored in order to update the size of the one or more inflated files based on changes in network traffic characteristics.
    Type: Grant
    Filed: December 29, 2016
    Date of Patent: February 16, 2021
    Assignee: NOBLIS, INC.
    Inventors: Matthew K. Monaco, Daniel Negron, Brian Satira, Michael Collins
  • Patent number: 10915654
    Abstract: Techniques for providing data loss prevention, including data exfiltration prevention and crypto-ransomware prevention, are provided. In some embodiments, a slack-space file system is created by using a modified packing algorithm to increase and/or optimize an amount of slack space created by files stored in a standard file system. A program for accessing and indexing the slack-space file system may be stored, and requests by a user to store data on a storage medium of a computer system may cause the information to be stored in the slack-space file system, where it may be protected from destructive malware that operates solely on the standard file system. In some embodiments, sensitive information may be hidden by storing the information in an alternate data stream of a file and by replacing the information in the unnamed data stream of the file with non-sensitive information that may appear to be sensitive.
    Type: Grant
    Filed: June 21, 2019
    Date of Patent: February 9, 2021
    Assignee: NOBLIS, INC.
    Inventors: Matthew K. Monaco, Daniel Negron, Brian Satira
  • Publication number: 20190318120
    Abstract: Techniques for providing data loss prevention, including data exfiltration prevention and crypto-ransomware prevention, are provided. In some embodiments, a slack-space file system is created by using a modified packing algorithm to increase and/or optimize an amount of slack space created by files stored in a standard file system. A program for accessing and indexing the slack-space file system may be stored, and requests by a user to store data on a storage medium of a computer system may cause the information to be stored in the slack-space file system, where it may be protected from destructive malware that operates solely on the standard file system. In some embodiments, sensitive information may be hidden by storing the information in an alternate data stream of a file and by replacing the information in the unnamed data stream of the file with non-sensitive information that may appear to be sensitive.
    Type: Application
    Filed: June 21, 2019
    Publication date: October 17, 2019
    Applicant: NOBLIS, INC.
    Inventors: Matthew K. MONACO, Daniel NEGRON, Brian SATIRA
  • Patent number: 10331902
    Abstract: Techniques for providing data loss prevention, including data exfiltration prevention and crypto-ransomware prevention, are provided. In some embodiments, a slack-space file system is created by using a modified packing algorithm to increase and/or optimize an amount of slack space created by files stored in a standard file system. A program for accessing and indexing the slack-space file system may be stored, and requests by a user to store data on a storage medium of a computer system may cause the information to be stored in the slack-space file system, where it may be protected from destructive malware that operates solely on the standard file system. In some embodiments, sensitive information may be hidden by storing the information in an alternate data stream of a file and by replacing the information in the unnamed data stream of the file with non-sensitive information that may appear to be sensitive.
    Type: Grant
    Filed: December 29, 2016
    Date of Patent: June 25, 2019
    Assignee: NOBLIS, INC.
    Inventors: Matthew K. Monaco, Daniel Negron, Brian Satira
  • Publication number: 20180330054
    Abstract: Techniques for identifying and/or classifying genomic information are provided. In some embodiments, genomic information may be identified by computing systems without access to a database of reference genomic information, instead relying on locally stored probabilistic data structures representing reference genomic information. Query genomic data, such as data taken from a read-set, may be divided into sub-strings, and each of the locally-stored probabilistic data structures may be queried by each of the extracted sub-strings, generating probabilistic outputs indicating either that (a) the sub-string is probably included in the set of data represented by the probabilistic data structure or (b) the sub-string is definitely not included in the set of data. Based on the number and/or proportion of sub-strings from a read-set that are indicated as being likely represented by a probabilistic data structure, a likely identity or classification for the genomic information in the read-set may be determined.
    Type: Application
    Filed: May 11, 2018
    Publication date: November 15, 2018
    Applicant: NOBLIS, INC.
    Inventors: Masooda OMARI, Tyler W. BARRUS, Mark SANDERS, Daniel NEGRON
  • Publication number: 20180191755
    Abstract: Techniques for providing network security and anomaly detection are disclosed. In some embodiments, network traffic may be monitored in order to create a model of network traffic over a first period of time. Based on the model of network traffic, one or more inflated files may be created and stored on a system, wherein the inflated files are of a sufficient file size such that attempts to exfiltrate one or more of the files may be detected based by network monitoring tools. The inflated files may further include one or more indicators of sensitivity, including indicators of the presence of sensitive information that is not actually included in the inflated files. Network traffic characteristics may then be repeatedly or continuously monitored in order to update the size of the one or more inflated files based on changes in network traffic characteristics.
    Type: Application
    Filed: December 29, 2016
    Publication date: July 5, 2018
    Applicant: NOBLIS, INC.
    Inventors: Matthew K. MONACO, Daniel NEGRON, Brian SATIRA, Michael COLLINS
  • Publication number: 20180189512
    Abstract: Techniques for providing data loss prevention, including data exfiltration prevention and crypto-ransomware prevention, are provided. In some embodiments, a slack-space file system is created by using a modified packing algorithm to increase and/or optimize an amount of slack space created by files stored in a standard file system. A program for accessing and indexing the slack-space file system may be stored, and requests by a user to store data on a storage medium of a computer system may cause the information to be stored in the slack-space file system, where it may be protected from destructive malware that operates solely on the standard file system. In some embodiments, sensitive information may be hidden by storing the information in an alternate data stream of a file and by replacing the information in the unnamed data stream of the file with non-sensitive information that may appear to be sensitive.
    Type: Application
    Filed: December 29, 2016
    Publication date: July 5, 2018
    Applicant: NOBLIS, INC.
    Inventors: Matthew K. MONACO, Daniel NEGRON, Brian SATIRA