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 代理人
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