- Patent Title: Automatic malware signature generation for threat detection systems
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Application No.: US16253237Application Date: 2019-01-22
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Publication No.: US11308210B2Publication Date: 2022-04-19
- Inventor: Fady Copty , Matan Danos , Orit Edelstein , Dov Murik , Benjamin Zeltser
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Dan Swirsky
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06F21/55 ; G06N5/04 ; G06N20/00

Abstract:
Deriving malware signatures by training a binary decision tree using known malware and benign software samples, each tree node representing a different software feature set and having one descending edge representing samples that are characterized by the node's software feature set and another descending edge representing samples that are not characterized thusly, selecting multiple continuous descending paths for multiple subsets of nodes, each path traversing a selected one of the edges descending from each of the nodes in its corresponding subset, deriving, based on the nodes and edges in any of the paths, a malware-associated software feature signature where the malware samples represented by leaves that directly or indirectly descend from an end of the continuous descending path meets a minimum percentage of the total number of samples represented by the leaves, and providing the malware signatures for use by a computer-based security tool configured to identify malware.
Public/Granted literature
- US20200233960A1 Automatic Malware Signature Generation for Threat Detection Systems Public/Granted day:2020-07-23
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