Patents by Inventor Dekel Paz

Dekel Paz 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).

  • Detection of known and unknown malicious domains
    Patent number: 10574681
    Abstract: A method, including collecting information on data transmitted at respective times between multiple endpoints and multiple Internet sites having respective domains, and acquiring, from one or more external or internal sources, maliciousness information for the domains. An access time profile is generated based on the times of the transmissions to the domains, and a popularity profile is generated based on the transmissions to the domains. A malicious domain profile is generated based on the acquired maliciousness information, and the collected information is modeled using the access time profile, the popularity profile and the malicious domain profile. Based on their respective modeled collected information, one or more of the domains is predicted to be suspicious, and an alert is generated for the one or more identified domains.
    Type: Grant
    Filed: September 4, 2017
    Date of Patent: February 25, 2020
    Assignee: PALO ALTO NETWORKS (ISRAEL ANALYTICS) LTD.
    Inventors: Yinnon Meshi, Jonathan Allon, Eyal Firstenberg, Yaron Neuman, Dekel Paz, Idan Amit
  • Detection of Known and Unknown Malicious Domains
    Publication number: 20180069883
    Abstract: A method, including collecting information on data transmitted at respective times between multiple endpoints and multiple Internet sites having respective domains, and acquiring, from one or more external or internal sources, maliciousness information for the domains. An access time profile is generated based on the times of the transmissions to the domains, and a popularity profile is generated based on the transmissions to the domains. A malicious domain profile is generated based on the acquired maliciousness information, and the collected information is modeled using the access time profile, the popularity profile and the malicious domain profile. Based on their respective modeled collected information, one or more of the domains is predicted to be suspicious, and an alert is generated for the one or more identified domains.
    Type: Application
    Filed: September 4, 2017
    Publication date: March 8, 2018
    Inventors: Yinnon Meshi, Jonathan Allon, Eyal Firstenberg, Yaron Neuman, Dekel Paz, Idan Amit