Abstract:
User sessions are authenticated based on locations associated with a user account used for sending a request for creating a session. Examples of locations of a source of a request include a geographical location, a network address, or a machine cookie associated with a device sending the request. Locations of the request are compared with stored safe locations associated with the user account and a suspiciousness index is determined for the session. The level of authentication required for the session is determined based on the suspiciousness index. Locations are associated with a reputation based on past history of sessions originating from the locations. A location associated with a history of creating suspicious session is considered an unsafe location. Reputation of the location originating the session is used to determine the level of authentication required for the session.
Abstract:
User sessions are authenticated based on locations associated with a user account used for sending a request for creating a session. Examples of locations of a source of a request include a geographical location, a network address, or a machine cookie associated with a device sending the request. Locations of the request are compared with stored safe locations associated with the user account and a suspiciousness index is determined for the session. The level of authentication required for the session is determined based on the suspiciousness index. Locations are associated with a reputation based on past history of sessions originating from the locations. A location associated with a history of creating suspicious session is considered an unsafe location. Reputation of the location originating the session is used to determine the level of authentication required for the session.
Abstract:
A system differentiates good content from bad content in a user-provided content system. Messages are analyzed for features that characterize messages. A feature may occur in one or more messages. A feature that has more than a threshold number of occurrences in messages in a time interval is identified for further analysis. Enhanced authentication is requested from senders of the messages with occurrences of the identified feature. Based on the rate at which senders of the messages pass authentication, the content associated with the message is determined to be good content or bad content. Subsequent messages are blocked or successfully delivered based on whether features occurring in the messages are indicative of good content or bad content.
Abstract:
A system differentiates good content from bad content in a user-provided content system. Messages are analyzed for features that characterize messages. A feature may occur in one or more messages. A feature that has more than a threshold number of occurrences in messages in a time interval is identified for further analysis. Enhanced authentication is requested from senders of the messages with occurrences of the identified feature. Based on the rate at which senders of the messages pass authentication, the content associated with the message is determined to be good content or bad content. Subsequent messages are blocked or successfully delivered based on whether features occurring in the messages are indicative of good content or bad content.