- 专利标题: Detecting malware attacks using extracted behavioral features
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申请号: US16693989申请日: 2019-11-25
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公开(公告)号: US11057407B2公开(公告)日: 2021-07-06
- 发明人: Shlomit Avrahami , Tali Finelt , Itai Gordon , Yakir Keisar , Ilan Prager , Alexander Pyasik , Oded Sofer , Or Bar-Yaacov , Yifat Yulevich
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理商 Kenneth Han
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06F21/55
摘要:
Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data using a machine learning technique, wherein the private data includes private enterprise attack findings. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.
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