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Impact of Code Obfuscation on Android Malware Detection based on Static and Dynamic Analysis.

, , , , , and . ICISSP, page 379-385. SciTePress, (2018)

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Managing Trust in Social Networks., and . Inf. Secur. J. A Glob. Perspect., 21 (4): 206-215 (2012)An exploratory study on the evolution of Android malware quality., , , , and . Journal of Software: Evolution and Process, (2018)Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection., , , and . IWSPA@CODASPY, page 50-57. ACM, (2016)A family of experiments to validate metrics for software process models., , , , and . J. Syst. Softw., 77 (2): 113-129 (2005)An HMM and structural entropy based detector for Android malware: An empirical study., , and . Comput. Secur., (2016)Identifying Mobile Repackaged Applications through Formal Methods., , , , and . ICISSP, page 673-682. SciTePress, (2017)Talos: no more ransomware victims with formal methods., , , , and . Int. J. Inf. Sec., 17 (6): 719-738 (2018)Investigando los beneficios de Pair Designing: un estudio empírico con profesionales., , , and . JISBD, page 489-494. (2006)Ransomware Steals Your Phone. Formal Methods Rescue It., , , and . FORTE, volume 9688 of Lecture Notes in Computer Science, page 212-221. Springer, (2016)Introducing Quality System in Small and Medium Enterprises: An Experience Report., , , , and . PROFES, volume 3009 of Lecture Notes in Computer Science, page 131-145. Springer, (2004)