Android malware detection based on system call sequences and LSTM
Work
Year: 2017
Type: article
Institutions University Town of Shenzhen, Tsinghua University, Institute of Informatics and Telematics, National Research Council, Shenzhen Institute of Information Technology +1 more
Cites: 31
Cited by: 232
Related to: 10
FWCI: 12.06
Citation percentile (by year/subfield): 99.98
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Grant ID 2015A030310492