Patents by Inventor Keren Mizinski

Keren Mizinski 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: 10425436
    Abstract: A method, including collecting data transmitted from endpoints to Internet sites having respective domains and respective IP addresses, and transmissions to IP addresses of ASN numbers or ASN names included in a list of ASNs. An ASN data traffic model is generated by modeling, for each given ASN, data transmitted to any of the IP address of the given ASN based on the data, and for each given ASN and a set of keywords, multiple web searches are performed, each of the web searches including a given keyword and an ASN name or a number for the given ASN. Based on the web searches, a model of relationships between the keywords and the ASNs is generated, and one or more of the ASNs are predicted to be suspicious based on their respective modeled data transmissions and their respective modeled relationships between the keywords and the one or more ASNs.
    Type: Grant
    Filed: September 4, 2017
    Date of Patent: September 24, 2019
    Assignee: Palo Alto Networks (Israel Analytics) Ltd.
    Inventors: Eyal Firstenberg, Yinnon Meshi, Idan Amit, Jonathan Allon, Keren Mizinski
  • Publication number: 20180069884
    Abstract: A method, including collecting data transmitted from endpoints to Internet sites having respective domains and respective IP addresses, and transmissions to IP addresses of ASN numbers or ASN names included in a list of ASNs. An ASN data traffic model is generated by modeling, for each given ASN, data transmitted to any of the IP address of the given ASN based on the data, and for each given ASN and a set of keywords, multiple web searches are performed, each of the web searches including a given keyword and an ASN name or a number for the given ASN. Based on the web searches, a model of relationships between the keywords and the ASNs is generated, and one or more of the ASNs are predicted to be suspicious based on their respective modeled data transmissions and their respective modeled relationships between the keywords and the one or more ASNs.
    Type: Application
    Filed: September 4, 2017
    Publication date: March 8, 2018
    Inventors: Eyal Firstenberg, Yinnon Meshi, Idan Amit, Jonathan Allon, Keren Mizinski