Lizhi Peng
Lizhi Peng
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Machine learning based mobile malware detection using highly imbalanced network traffic
Z Chen, Q Yan, H Han, S Wang, L Peng, L Wang, B Yang
Information Sciences 433, 346-364, 2018
Automatic design of hierarchical Takagi–Sugeno type fuzzy systems using evolutionary algorithms
Y Chen, B Yang, A Abraham, L Peng
IEEE Transactions on Fuzzy Systems 15 (3), 385-397, 2007
Data gravitation based classification
L Peng, B Yang, Y Chen, A Abraham
Information Sciences 179 (6), 809-819, 2009
A mobile malware detection method using behavior features in network traffic
S Wang, Z Chen, Q Yan, B Yang, L Peng, Z Jia
Journal of Network and Computer Applications 133, 15-25, 2019
A new approach for imbalanced data classification based on data gravitation
L Peng, H Zhang, B Yang, Y Chen
Information Sciences 288, 347-373, 2014
Gaussian distribution based oversampling for imbalanced data classification
Y Xie, M Qiu, H Zhang, L Peng, Z Chen
IEEE Transactions on Knowledge and Data Engineering 34 (2), 667-679, 2020
Trafficav: An effective and explainable detection of mobile malware behavior using network traffic
S Wang, Z Chen, L Zhang, Q Yan, B Yang, L Peng, Z Jia
2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), 1-6, 2016
Traffic classification using probabilistic neural networks
R Sun, B Yang, L Peng, Z Chen, L Zhang, S Jing
2010 Sixth International Conference on Natural Computation 4, 1914-1919, 2010
Ranking-based biased learning swarm optimizer for large-scale optimization
H Deng, L Peng, H Zhang, B Yang, Z Chen
Information Sciences 493, 120-137, 2019
Deep and broad URL feature mining for android malware detection
S Wang, Z Chen, Q Yan, K Ji, L Peng, B Yang, M Conti
Information Sciences 513, 600-613, 2020
Effectiveness of statistical features for early stage internet traffic identification
L Peng, B Yang, Y Chen, Z Chen
International Journal of Parallel Programming 44, 181-197, 2016
Effective packet number for early stage internet traffic identification
L Peng, B Yang, Y Chen
Neurocomputing 156, 252-267, 2015
Imbalanced traffic identification using an imbalanced data gravitation-based classification model
L Peng, H Zhang, Y Chen, B Yang
Computer Communications 102, 177-189, 2017
Online hybrid traffic classifier for Peer-to-Peer systems based on network processors
Z Chen, B Yang, Y Chen, A Abraham, C Grosan, L Peng
Applied Soft Computing 9 (2), 685-694, 2009
Exchange rate forecasting using flexible neural trees
Y Chen, L Peng, A Abraham
International symposium on neural networks, 518-523, 2006
Flexible neural trees based early stage identification for IP traffic
Z Chen, L Peng, C Gao, B Yang, Y Chen, J Li
Soft Computing 21, 2035-2046, 2017
Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection
Y Pang, L Peng, Z Chen, B Yang, H Zhang
Information Sciences 484, 95-112, 2019
Effective detection of mobile malware behavior based on explainable deep neural network
A Yan, Z Chen, H Zhang, L Peng, Q Yan, MU Hassan, C Zhao, B Yang
Neurocomputing 453, 482-492, 2021
A novel classification method based on data gravitation
L Peng, Y Chen, B Yang, Z Chen
2005 international conference on neural networks and brain 2, 667-672, 2005
Traffic labeller: collecting internet traffic samples with accurate application information
P Lizhi, Z Hongli, Y Bo, C Yuehui, W Tong
China Communications 11 (1), 69-78, 2014
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