发明名称 Domain Classification Using Domain Co-Occurence Information
摘要 Domain classification based on domain co-occurrence information derived from client request behavior is provided. The network requests of clients are analyzed to determine domain and time information. Distance information is generated based on the time between requests for a plurality of domains. The distance information for individual clients is combined to generate distance information for domain pairs. The distance information represents an amount of time or other measurement between queries associated with the two domains of the pair. By examining the client requests, a measure of the distance or relatedness of two domains may be determined. Co-occurrence information for a first set of domains is generated based on the co-occurrence of domains in the first set with domains in a second set of domains. Based on the co-occurrence information, a domain classification can be generated for domains in the first set of domains.
申请公布号 US2015019708(A1) 申请公布日期 2015.01.15
申请号 US201313938983 申请日期 2013.07.10
申请人 OpenDNS, Inc. 发明人 Denis Frank
分类号 H04L12/26 主分类号 H04L12/26
代理机构 代理人
主权项 1. A method of processing communication in a computer network, comprising: accessing information related to requests from a plurality of clients for a plurality of domains, the information including for each client a list of domains associated with requests from the client; generating distance information based on requests for domains in a first set of the plurality of domains and requests for domains in a second set of the plurality of domains, wherein the distance information includes information for domain pairs based on requests for one domain from the first set and requests for one domain from the second set; for each domain in the first set of domains, generating co-occurrence information based on the distance information for each domain pair including said each domain; and generating a domain classification for the first set of domains based on the co-occurrence information.
地址 San Francisco CA US
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