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TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic.

, , , , , , and . IWQoS, page 1-6. IEEE, (2016)

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Other publications of authors with the same name

A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic., , , , , and . ICA3PP (4), volume 11337 of Lecture Notes in Computer Science, page 109-120. Springer, (2018)An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids., , , , and . PAKDD (Workshops), volume 11154 of Lecture Notes in Computer Science, page 345-356. Springer, (2018)Deep and broad URL feature mining for android malware detection., , , , , , and . Inf. Sci., (2020)A new approach for imbalanced data classification based on data gravitation., , , and . Inf. Sci., (2014)Generative learning for imbalanced data using the Gaussian mixed model., , , , , and . Appl. Soft Comput., (2019)Video traffic identification with novel feature extraction and selection method., , , , and . CoRR, (2023)Accelerating data gravitation-based classification using GPU., , , , and . J. Supercomput., 75 (6): 2930-2949 (2019)Effective detection of mobile malware behavior based on explainable deep neural network., , , , , , , and . Neurocomputing, (2021)Effectiveness of Statistical Features for Early Stage Internet Traffic Identification., , , and . Int. J. Parallel Program., 44 (1): 181-197 (2016)Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids., , , , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 171-181. Springer, (2017)