Abnormity classification detection method and device for network flow, storage medium and processor

• Main Author: ZHANG QIKE
• Format: Patent
• Language: Chinese; English
• Published: 16.08.2019
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention discloses an abnormity classification detection method and device for network flow, a storage medium and a processor. The method comprises the steps of obtaining a target log generated by a target website under the target network flow; obtaining an attribute value set of the target log, wherein the attribute value in the attribute value set is used for indicating the state of a fieldassociated with the attribute value under the target attribute; synthesizing at least one target attribute value associated with the same field into a first target attribute value under the conditionthat the attribute value set comprises the predefined target attribute values; and under the condition that the first target attribute value is successfully matched with a predefined second target attribute value, determining that the target network flow has an abnormal state of a target type, the second target attribute value being used for indicating that a field associated with the second target attribute value belongs