SOMDROID: android malware detection by artificial neural network trained using unsupervised learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s12065-020-00518-1.pdf
Reference81 articles.
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2. Allix K, Bissyandé TF, Jérome Q, Klein J, Traon YL et al (2016) Empirical assessment of machine learning-based malware detectors for android. Empir Softw Eng 21(1):183–211
3. Almin SB, Chatterjee M (2015) A novel approach to detect android malware. Procedia Comput Sci 45:407–417
4. Alzaylaee MK, Yerima SY, Sezer S (2017) Emulator vs real phone: android malware detection using machine learning. In: Proceedings of the 3rd ACM on international workshop on security and privacy analytics
5. Andriatsimandefitra R, Tong VVT (2015) Detection and identification of android malware based on information flow monitoring. In: 2015 IEEE 2nd international conference on cyber security and cloud computing, IEEE, pp 200–203
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