作者：Guo, Hong; Cheng, Hsing Kenneth; Kelley, Ken
作者单位：University of Notre Dame; State University System of Florida; University of Florida; University of Notre Dame
摘要：Malicious software, commonly termed malware, continuously presents one of the top security concerns, and causes tremendous worldwide financial losses for organizations. In this paper, we propose a structural risk model to analyze malware propagation dynamics measured by a four-parameter (asymptote, point of inflection, rate, and infection proportion at inflection) growth curve. Using both social network data and technological network infrastructure from a large organization, we estimate the pr...
