Nurbol Luktarhan

According to our database, Nurbol Luktarhan authored at least 21 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GBADroid: an Android malware detection method based on multi-view feature fusion.

Yi Meng, Nurbol Luktarhan, Xiaotong Yang, Guodong Zhao

J. Supercomput., February, 2025

2023

An Android Malware Detection Approach to Enhance Node Feature Differences in a Function Call Graph Based on GCNs.

Haojie Wu, Nurbol Luktarhan, Gaoqi Tian, Yangyang Song

Sensors, 2023

CLDTLog: System Log Anomaly Detection Method Based on Contrastive Learning and Dual Objective Tasks.

Gaoqi Tian, Nurbol Luktarhan, Haojie Wu, Zhaolei Shi

Sensors, 2023

TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM.

Zhaolei Shi, Nurbol Luktarhan, Yangyang Song, Huixin Yin

Entropy, 2023

Attention-Based BiLSTM For Malware Family Classification.

Yonglin Liao, Nurbol Luktarhan, Yue Wang, Qinlin Chen

Proceedings of the 2023 4th International Conference on Computing, 2023

2022

LogLS: Research on System Log Anomaly Detection Method Based on Dual LSTM.

Yiyong Chen, Nurbol Luktarhan, Dan Lv

Symmetry, 2022

2021

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA).

AiJun Zhou, Nurbol Luktarhan, Zhuang Ai

Symmetry, 2021

Android Malware Detection Using TCN with Bytecode Image.

Wenhui Zhang, Nurbol Luktarhan, Chao Ding, Bei Lu

Symmetry, 2021

ICLSTM: Encrypted Traffic Service Identification Based on Inception-LSTM Neural Network.

Bei Lu, Nurbol Luktarhan, Chao Ding, Wenhui Zhang

Symmetry, 2021

ConAnomaly: Content-Based Anomaly Detection for System Logs.

Dan Lv, Nurbol Luktarhan, Yiyong Chen

Sensors, 2021

Webshell detection with byte-level features based on deep learning.

Xiao Zhongzheng, Nurbol Luktarhan

J. Intell. Fuzzy Syst., 2021

A Hybrid Analysis-Based Approach to Android Malware Family Classification.

Chao Ding, Nurbol Luktarhan, Bei Lu, Wenhui Zhang

Entropy, 2021

2020

SAAE-DNN: Deep Learning Method on Intrusion Detection.

Chaofei Tang, Nurbol Luktarhan, Yuxin Zhao

Symmetry, 2020

An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder.

Chaofei Tang, Nurbol Luktarhan, Yuxin Zhao

Symmetry, 2020

WebShell Attack Detection Based on a Deep Super Learner.

Zhuang Ai, Nurbol Luktarhan, AiJun Zhou, Dan Lv

Symmetry, 2020

WS-LSMR: Malicious WebShell Detection Algorithm Based on Ensemble Learning.

Zhuang Ai, Nurbol Luktarhan, Yuxin Zhao, Chaofei Tang

IEEE Access, 2020

2019

A keyword-based combination approach for detecting phishing webpages.

Yan Ding, Nurbol Luktarhan, Keqin Li, Wushour Slamu

Comput. Secur., 2019

2018

A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets.

Rong Zhou, Yong Zhang, Shengzhong Feng, Nurbol Luktarhan

Complex., 2018

2016

A Distance and Density-Based Clustering Algorithm Using Automatic Peak Detection.

Rong Zhou, Shuang Zhang, Chun Chen, Li Ning, Yong Zhang, Shengzhong Feng, Yi Liu, Nurbol Luktarhan

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

2012

Multi-stage Attack Detection Algorithm Based on Hidden Markov Model.

Nurbol Luktarhan, Xue Jia, Liang Hu, Nannan Xie

Proceedings of the Web Information Systems and Mining - International Conference, 2012

2011

A Classification of Cluster Validity Indexes Based on Membership Degree and Applications.

Nannan Xie, Liang Hu, Nurbol Luktarhan, Kuo Zhao

Proceedings of the Web Information Systems and Mining - International Conference, 2011