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Discovering and understanding android sensor usage behaviors with data flow analysis.

, , , , and . World Wide Web, 21 (1): 105-126 (2018)

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Membership Detection for Real-world Groups Hidden in Social Network., and . ISI, page 152-154. IEEE, (2019)Discovering and understanding android sensor usage behaviors with data flow analysis., , , , and . World Wide Web, 21 (1): 105-126 (2018)MADDC: Multi-Scale Anomaly Detection, Diagnosis and Correction for Discrete Event Logs., , , , , , , and . ACSAC, page 769-784. ACM, (2022)Dynamic privacy leakage analysis of Android third-party libraries., , , and . J. Inf. Secur. Appl., (2019)Hybritus: a password strength checker by ensemble learning from the query feedbacks of websites., , and . Frontiers Comput. Sci., 14 (3): 143802 (2020)BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors., , , , and . Inf. Sci., (2020)Sensing Users' Emotional Intelligence in Social Networks., , , , , and . IEEE Trans. Comput. Social Systems, 7 (1): 103-112 (2020)Privacy-preserving categorization of mobile applications based on large-scale usage data., , , , , and . Inf. Sci., (2020)LeakDoctor: Toward Automatically Diagnosing Privacy Leaks in Mobile Applications., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (1): 28:1-28:25 (2019)Dynamic Privacy Leakage Analysis of Android Third-Party Libraries., , and . ICDIS, page 275-280. IEEE, (2018)