Patents by Inventor Ejike E. Ofuonye

Ejike E. Ofuonye 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: 11025665
    Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: June 1, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Philip K. Newman, Puhazholi Vetrivel, Sudhakar Narayanamurthy, Ejike E. Ofuonye, Suresh C. Palani, Ashish Mishra
  • Publication number: 20200304538
    Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.
    Type: Application
    Filed: June 8, 2020
    Publication date: September 24, 2020
    Inventors: Philip K. NEWMAN, Puhazholi VETRIVEL, Sudhakar NARAYANAMURTHY, Ejike E. OFUONYE, Suresh C. PALANI, Ashish MISHRA
  • Patent number: 10715545
    Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: July 14, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Philip K. Newman, Puhazholi Vetrivel, Sudhakar Narayanamurthy, Ejike E. Ofuonye, Suresh C. Palani, Ashish Mishra
  • Publication number: 20190098040
    Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.
    Type: Application
    Filed: January 19, 2018
    Publication date: March 28, 2019
    Inventors: Philip K. Newman, Puhazholi Vetrivel, Sudhakar Narayanamurthy, Ejike E. Ofuonye, Suresh C. Palani, Ashish Mishra