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The Evolution of Android Malware and Android Analysis Techniques.

, , , , and . ACM Comput. Surv., 49 (4): 76:1-76:41 (2017)

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Anomaly Detection Using Cooperative Fuzzy Logic Controller., , , , and . FIRA, volume 376 of Communications in Computer and Information Science, page 220-231. Springer, (2013)The Evolution of Android Malware and Android Analysis Techniques., , , , and . ACM Comput. Surv., 49 (4): 76:1-76:41 (2017)Challenges and Recommended Solutions in Multi-Source and Multi-Domain Sentiment Analysis., , , and . IEEE Access, (2019)The rise of obfuscated Android malware and impacts on detection methods., , and . PeerJ Comput. Sci., (2022)Evaluation of machine learning classifiers for mobile malware detection., , , and . Soft Comput., 20 (1): 343-357 (2016)Profiling the halal food consumer on Instagram: integrating image, textual, and social tagging data., , , and . Multim. Tools Appl., 82 (7): 10867-10886 (March 2023)Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics., , and . Multim. Tools Appl., 82 (8): 12423-12443 (March 2023)Halal Products on Twitter: Data Extraction and Sentiment Analysis Using Stack of Deep Learning Algorithms., , , , and . IEEE Access, (2019)A review on feature selection in mobile malware detection., , , and . Digit. Investig., (2015)AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection., , , , and . Comput. Secur., (2017)