PageRank in malware categorization
作者： BooJoong Kang , Suleiman Yerima , Kieran McLaughlin , Sakir Sezer
关键词:
摘要: In this paper, we propose a malware categorization method that models behavior in terms of instructions using PageRank.PageRank computes ranks web pages based on structural information and can also compute represent the analysis methods. Our uses computed as features machine learning algorithms. evaluation, compare effectiveness different PageRank algorithms investigate bagging boosting to improve accuracy.
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