Jiaye Pan1, Yi Zhuang1, *, Xinwen Hu1, 2, Wenbing Zhao3
CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 607-622, 2020, DOI:10.32604/cmc.2020.09853
Abstract Nowadays cloud architecture is widely applied on the internet. New malware
aiming at the privacy data stealing or crypto currency mining is threatening the security of
cloud platforms. In view of the problems with existing application behavior monitoring
methods such as coarse-grained analysis, high performance overhead and lack of
applicability, this paper proposes a new fine-grained binary program monitoring and
analysis method based on multiple system level components, which is used to detect the
possible privacy leakage of applications installed on cloud platforms. It can be used online
in cloud platform environments for fine-grained automated analysis of target programs,
ensuring… More >
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