发明名称 |
SYSTEMS AND METHODS FOR DATA DRIVEN MALWARE TASK IDENTIFICATION |
摘要 |
Embodiments of a system and method for identifying malware tasks using a controlled environment to run malicious software to generate analysis reports, a parser to extract features from the analysis reports and a cognitively inspired learning algorithm to predict tasks associated with the malware are disclosed. |
申请公布号 |
US2016371490(A1) |
申请公布日期 |
2016.12.22 |
申请号 |
US201615186278 |
申请日期 |
2016.06.17 |
申请人 |
ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY ;CARNEGIE MELLON UNIVERSITY |
发明人 |
Shakarian Paulo;Nunes Eric;Buto Casey;Lebiere Christian;Thomson Robert;Bennati Stefano |
分类号 |
G06F21/56;G06N99/00 |
主分类号 |
G06F21/56 |
代理机构 |
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代理人 |
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主权项 |
1. A method for estimating a task of a malware program, the method comprising:
receiving an instance of malware at a computing device; extracting a set of attributes of the received instance of malware; applying an Adaptive Control of Thought-Rational (ACT-R) machine learning technique to the extracted set of attributes; and estimating one or more tasks of the received instance of malware based at least on the application of the ACT-R machine learning technique. |
地址 |
Tempe AZ US |