Auditing anti-malware tools by evolving Android malware and dynamic loading technique

• Main Authors: XUE, Yinxing, MENG, Guozhu, LIU, Yang, TAN, Tian Huat, CHEN, Hongxu, SUN, Jun, ZHANG, Jie
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Android feature model; defense capability; malware generation; dynamic loading; linear programming; Programming Languages and Compilers; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4853; https://ink.library.smu.edu.sg/context/sis_research/article/5856/viewcontent/auditing_anti_malware__PV.pdf
• Institution: Singapore Management University

Although a previous paper shows that existing antimalware tools (AMTs) may have high detection rate, the report is based on existing malware and thus it does not imply that AMTs can effectively deal with future malware. It is desirable to have an alternative way of auditing AMTs. In our previous pap...