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MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version).

, , , , , and . ACM Trans. Priv. Secur., 22 (2): 14:1-14:34 (2019)

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MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models., , , , , and . NDSS, The Internet Society, (2017)Danger is my middle name: experimenting with SSL vulnerabilities in Android apps., and . WISEC, page 15:1-15:6. ACM, (2015)Experimental Analysis of Popular Smartphone Apps Offering Anonymity, Ephemerality, and End-to-End Encryption., and . CoRR, (2015)MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)., , , , , and . ACM Trans. Priv. Secur., 22 (2): 14:1-14:34 (2019)POSTER: Experimental Analysis of Popular Anonymous, Ephemeral, and End-to-End Encrypted Apps., and . WISEC, page 221-222. ACM, (2016)A Family of Droids: Analyzing Behavioral Model based Android Malware Detection via Static and Dynamic Analysis., , , , , and . CoRR, (2018)MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)., , , , , and . CoRR, (2017)Factors influencing users to use unsecured wi-fi networks: evidence in the wild., , , and . WiSec, page 203-213. ACM, (2019)MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models., , , , , and . CoRR, (2016)Measuring and mitigating security and privacy issues on android applications.. University College London, UK, (2019)British Library, EThOS.