Invention Grant
- Patent Title: Systems and methods for behavioral cluster-based network threat detection
-
Application No.: US15909786Application Date: 2018-03-01
-
Publication No.: US10721254B2Publication Date: 2020-07-21
- Inventor: Ilias Kotinas , Theocharis Tsigkritis , Giorgos Gkroumas
- Applicant: Crypteia Networks S.A.
- Applicant Address: GR Athens
- Assignee: Crypteia Networks S.A.
- Current Assignee: Crypteia Networks S.A.
- Current Assignee Address: GR Athens
- Agency: EIP US LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06K9/62

Abstract:
Systems and methods for threat detection in a network are provided. The system obtains recoils for entities that access a network. The records include attributes associated with the entities. The system identifies features for each of the entities based on the attributes. The system generates a feature set for each of the entities. The feature set is generated from the features identified based on the attributes of each of the entities. The system forms clusters of entities based on the feature set for each of the entities. The system classifies each of the clusters with a threat severity score calculated based on scores associated with entities forming each of the clusters. The system determines to generate an alert for an entity in a cluster response to the threat severity score of the cluster being greater than a threshold.
Public/Granted literature
- US20180255084A1 SYSTEMS AND METHODS FOR BEHAVIORAL CLUSTER-BASED NETWORK THREAT DETECTION Public/Granted day:2018-09-06
Information query