Systems and methods for detecting malware based on event dependencies
作者： Reuben Feinman , Jugal Parikh
DOI:
关键词: Event sequence 、 Event (probability theory) 、 Malware 、 Confidence score 、 Data mining 、 Computer science
摘要: The disclosed computer-implemented method for detecting malware based on event dependencies may include (1) applying, to a detection system capable of analyzing dependencies, an sequence derived from the execution application, (2) obtaining, system, confidence score which calculates after certain within has executed at least in part one or more between and other sequence, (3) determining that exceeds threshold, (4) classifying application as malicious response threshold. Various methods, systems, computer-readable media are also disclosed.
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