| 摘要 |
Described herein are techniques for operating a security server to determine behavioral profiles for entities in a network and to detect attacks or unauthorized traffic in a network based on those behavioral profiles. In one technique, a behavioral profile may be generated based on requests for security operations to be performed that are received at a security server from an entity in a network. The behavioral profile may be generated using learning techniques, including artificial intelligence techniques such as neural networks. When the security server receives from an entity one or more requests for security operations to be performed, the security server may compare properties of the requests to the behavioral profile for the entity and properties of requests commonly sent by the entity. The security server may determine a similarity score indicating how similar the request are to the behavioral profile and to requests commonly received from the entity. |
