Abstract: User behavior data of multiple users is acquired, and multiple user eigenvalues of user behavior data of each user under preset multiple user behavior dimensions are extracted. A user eigenvector of each user is determined based on the multiple eigenvalues of this user. Multiple user classes are obtained by clustering the user eigenvectors of multiple users are clustered through a preset clustering algorithm. A central vector of each user class is determined based on the user eigenvectors included in this user class. A difference eigenvector of each user class is determined, wherein a distance between the difference eigenvector and a central vector of an aggregation class to which the difference eigenvector belongs is not within a preset distance range. A user characterized by the difference eigenvector is determined as an abnormal user.

Abstract: User behavior data of multiple users is acquired, and multiple user eigenvalues of user behavior data of each user under preset multiple user behavior dimensions are extracted. A user eigenvector of each user is determined based on the multiple eigenvalues of this user. Multiple user classes are obtained by clustering the user eigenvectors of multiple users are clustered through a preset clustering algorithm. A central vector of each user class is determined based on the user eigenvectors included in this user class. A difference eigenvector of each user class is determined, wherein a distance between the difference eigenvector and a central vector of an aggregation class to which the difference eigenvector belongs is not within a preset distance range. A user characterized by the difference eigenvector is determined as an abnormal user.

Abstract: A domain name resolution request sent by a terminal is received. The domain name resolution request includes a domain name to be identified. The domain name includes at least one character. A sequence matrix corresponding to the domain name is determined. The sequence matrix includes at least one character vector. Each of the at least one character vector corresponds to each of the at least one character one to one. Each of the at least one character vector is sequentially input to an input and output gate. The input and output gate includes a logical operation rule between a plurality of activation functions. A feature vector corresponding to the sequence matrix is obtained by performing logical operation processing on each of the at least one character vector based on the logical operation rule between the plurality of activation functions.

Abstract: A new identification (ID) technology comprising unified and standardized object identification within Cyber Space is disclosed based upon intrinsic properties of the entity to be identified. This Cyber Gene ID (or Cyber ID) technology extracts intrinsic information from either the physical users or their cyberspace counterparts, and such information is categorized into client parameters, dynamic parameters, static parameters, cloud parameters, connection parameters and user parameters.

Abstract: A new identification (ID) technology comprising unified and standardized object identification within Cyber Space is disclosed based upon intrinsic properties of the entity to be identified. This Cyber Gene ID (or Cyber ID) technology extracts intrinsic information from either the physical users or their cyberspace counterparts, and such information is categorized into client parameters, dynamic parameters, static parameters, cloud parameters, connection parameters and user parameters.

Abstract: A new identification (ID) technology comprising unified and standardized object identification within Cyber Space is disclosed based upon intrinsic properties of the entity to be identified. This Cyber Gene ID (or Cyber ID) technology extracts intrinsic information from either the physical users or their cyberspace counterparts, and such information is categorized into client parameters, dynamic parameters, static parameters, cloud parameters, connection parameters and user parameters.

Abstract: A new identification (ID) technology comprising unified and standardized object identification within Cyber Space is disclosed based upon intrinsic properties of the entity to be identified. This Cyber Gene ID (or Cyber ID) technology extracts intrinsic information from either the physical users or their cyberspace counterparts, and such information is categorized into client parameters, dynamic parameters, static parameters, cloud parameters, connection parameters and user parameters.