Lizhi Peng

Orcid: 0000-0002-6009-522X

According to our database1, Lizhi Peng authored at least 78 papers between 2006 and 2023.

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Bibliography

2023
ECM-EFS: An ensemble feature selection based on enhanced co-association matrix.
Pattern Recognit., July, 2023

Video traffic identification with novel feature extraction and selection method.
CoRR, 2023

Live-Stream Identification Based on Reasoning Network with Core Traffic Set.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders.
Proceedings of the IEEE International Conference on Communications, 2023

Adversarial Attack with Genetic Algorithm against IoT Malware Detectors.
Proceedings of the IEEE International Conference on Communications, 2023

A Novel Adaptive Distribution Distance-Based Feature Selection Method for Video Traffic Identification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

An Early Stage Identification of Cryptomining Behavior with DNS Requests.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Gaussian Distribution Based Oversampling for Imbalanced Data Classification.
IEEE Trans. Knowl. Data Eng., 2022

Community detection based on similarities of communication behavior in IP networks.
J. Ambient Intell. Humaniz. Comput., 2022

Blind image separation based on attentional generative adversarial network.
J. Ambient Intell. Humaniz. Comput., 2022

Mining Function Homology of Bot Loaders from Honeypot Logs.
CoRR, 2022

An early stage convolutional feature extracting method using for mining traffic detection.
Comput. Commun., 2022

Rule-Based Collaborative Learning with Heterogeneous Local Learning Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

SFMD: A Semi-Supervised Federated Malicious Traffic Detection Approach in IoT.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Video traffic identification with a distribution distance-based feature selection.
Proceedings of the IEEE International Performance, 2022

NB-Radar: An Effective Method for Detecting Local Network Behaviors.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Effective detection of mobile malware behavior based on explainable deep neural network.
Neurocomputing, 2021

Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification.
Appl. Soft Comput., 2021

AndroCreme: Unseen Android Malware Detection Based on Inductive Conformal Learning.
Proceedings of the 20th IEEE International Conference on Trust, 2021

IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

A Novel Feature Method for Fast Extraction of Mining Traffic.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Deep and broad URL feature mining for android malware detection.
Inf. Sci., 2020

Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification.
Inf. Sci., 2020

A Novel Method to Classify Videos Based VBR Trace.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

An Imbalanced Learning Based Method for Esophageal Squamous Cell Carcinoma (ESCC) Distant Metastasis Predicting.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2019
Accelerating data gravitation-based classification using GPU.
J. Supercomput., 2019

A mobile malware detection method using behavior features in network traffic.
J. Netw. Comput. Appl., 2019

Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection.
Inf. Sci., 2019

Ranking-based biased learning swarm optimizer for large-scale optimization.
Inf. Sci., 2019

Generative learning for imbalanced data using the Gaussian mixed model.
Appl. Soft Comput., 2019

A Signature-Based Assistant Random Oversampling Method for Malware Detection.
Proceedings of the 18th IEEE International Conference On Trust, 2019

A Prognosis Method for Esophageal Squamous Cell Carcinoma Based on CT Image and Three-Dimensional Convolutional Neural Networks.
Proceedings of the Intelligent Systems Design and Applications, 2019

Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification.
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

2018
Machine learning based mobile malware detection using highly imbalanced network traffic.
Inf. Sci., 2018

Neural Network Rule Extraction for Real Time Traffic Behavior Identification.
Proceedings of the 2018 International Conference on Security, 2018

Medical entity recognition of Esophageal Carcinoma based on word clustering.
Proceedings of the 2018 International Conference on Security, 2018

TrafficPSSF: A Fast and An Effective Malware Detection Under Online and Offline.
Proceedings of the 2018 International Conference on Security, 2018

An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Adaptive Message Routing and Replication in Mobile Opportunistic Networks for Connected Communities.
ACM Trans. Internet Techn., 2017

Flexible neural trees based early stage identification for IP traffic.
Soft Comput., 2017

A novel semi-supervised learning method for Internet application identification.
Soft Comput., 2017

A fast feature weighting algorithm of data gravitation classification.
Inf. Sci., 2017

Imbalanced traffic identification using an imbalanced data gravitation-based classification model.
Comput. Commun., 2017

Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Effectiveness of Statistical Features for Early Stage Internet Traffic Identification.
Int. J. Parallel Program., 2016

DroidCollector: A High Performance Framework for High Quality Android Traffic Collection.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

On the Impact of Packet Inter Arrival Time for Early Stage Traffic Identification.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

On the Effectiveness of Packet Sampling for Early Stage Traffic Identification.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

An under-sampling imbalanced learning of data gravitation based classification.
Proceedings of the 12th International Conference on Natural Computation, 2016

Extraction of Feature Points on 3D Meshes Through Data Gravitation.
Proceedings of the Intelligent Computing Theories and Application, 2016

SMOTE-DGC: An Imbalanced Learning Approach of Data Gravitation Based Classification.
Proceedings of the Intelligent Computing Theories and Application, 2016

Early Stage Internet Traffic Identification Using Data Gravitation Based Classification.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015
Effective packet number for early stage internet traffic identification.
Neurocomputing, 2015

A First Look at Android Malware Traffic in First Few Minutes.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Using Map-Based Interactive Interface for Understanding and Characterizing Crime Data in Cities.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

High Performance NetFPGA and Multi-fractal Wavelet Model Based Network Traffic Generator.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

A Real-time Android Malware Detection System Based on Network Traffic Analysis.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
A new approach for imbalanced data classification based on data gravitation.
Inf. Sci., 2014

Feature Evaluation for Early Stage Internet Traffic Identification.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

Feature Selection Toward Optimizing Internet Traffic Behavior Identification.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

Hierarchical RBF Neural Network Using for Early Stage Internet Traffic Identification.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2011
A parallel evolving algorithm for flexible neural tree.
Parallel Comput., 2011

2010
Traffic identification using flexible neural trees.
Proceedings of the 18th International Workshop on Quality of Service, 2010

Traffic classification using probabilistic neural networks.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Data gravitation based classification.
Inf. Sci., 2009

Online hybrid traffic classifier for Peer-to-Peer systems based on network processors.
Appl. Soft Comput., 2009

2007
Automatic Design of Hierarchical Takagi-Sugeno Type Fuzzy Systems Using Evolutionary Algorithms.
IEEE Trans. Fuzzy Syst., 2007

A Novel Improvement of Neural Network Classification Using Further Division of Partition Space.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

2006
Stock Index Modeling Using Hierarchical Radial Basis Function Networks.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Exchange Rate Forecasting Using Flexible Neural Trees.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Hierarchical Radial Basis Function Neural Networks for Classification Problems.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Novel Method of P2P Hosts Detection Based on Flexible Neural Tree.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Gene Expression Profiling Using Flexible Neural Trees.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A DGC-Based Data Classification Method Used for Abnormal Network Intrusion Detection.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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