Invention Grant
US09106697B2 System and method for identifying unauthorized activities on a computer system using a data structure model
有权
使用数据结构模型在计算机系统上识别未授权活动的系统和方法
- Patent Title: System and method for identifying unauthorized activities on a computer system using a data structure model
- Patent Title (中): 使用数据结构模型在计算机系统上识别未授权活动的系统和方法
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Application No.: US13163590Application Date: 2011-06-17
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Publication No.: US09106697B2Publication Date: 2015-08-11
- Inventor: Alen Capalik , David Andrews , Ben Becker
- Applicant: Alen Capalik , David Andrews , Ben Becker
- Applicant Address: US CA Santa Monica
- Assignee: NeurallQ, Inc.
- Current Assignee: NeurallQ, Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; H04L29/06

Abstract:
A computer implemented method includes monitoring activity on the virtual machine. A plurality of activities being performed at the virtual machine is identified. Each of the activities includes an activity source, an activity target, and an association between the activity source and the activity target. The activity sources, activity targets, and associations are stored in the memory. A fingerprint indicative of the activity on the virtual machine is created from the stored activities. The fingerprint is transmitted to prevent future attacks that comprise the same or similar activities as indicated by the fingerprint.
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