Invention Grant
- Patent Title: Techniques for botnet detection and member identification
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Application No.: US15442582Application Date: 2017-02-24
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Publication No.: US10673719B2Publication Date: 2020-06-02
- Inventor: Nitzan Niv
- Applicant: Imperva, Inc.
- Applicant Address: US CA Redwood City
- Assignee: Imperva, Inc.
- Current Assignee: Imperva, Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04L29/06 ; H04L29/12 ; H04L29/08

Abstract:
A botnet identification module identifies members of one or more botnets based upon network traffic destined to one or more servers over time, and provides sets of botnet sources to a traffic monitoring module. Each set of botnet sources includes a plurality of source identifiers of end stations acting as part of a corresponding botnet. A traffic monitoring module receives the sets of botnet sources from the botnet identification module, and upon a receipt of traffic identified as malicious that was sent by a source identified within one of the sets of botnet sources, activates a protection mechanism with regard to all traffic from all of the sources identified by the one of the sets of botnet sources for an amount of time.
Public/Granted literature
- US20170251005A1 TECHNIQUES FOR BOTNET DETECTION AND MEMBER IDENTIFICATION Public/Granted day:2017-08-31
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