A Classification of Cluster Validity Indexes Based on Membership Degree and Applications. - Nannan Xie; Liang Hu 001; Nurbol Luktarhan; Kuo Zhao (WISM (1), 2011)

Multi-stage Attack Detection Algorithm Based on Hidden Markov Model. - Nurbol Luktarhan; Xue Jia; Liang Hu 001; Nannan Xie (WISM, 2012)

A Distance and Density-Based Clustering Algorithm Using Automatic Peak Detection. - Rong Zhou 006; Shuang Zhang; Chun Chen; Li Ning 001; Yong Zhang 001; Shengzhong Feng; Yi Liu; Nurbol Luktarhan (SmartCloud, 2016)

A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets. - Rong Zhou 006; Yong Zhang 001; Shengzhong Feng; Nurbol Luktarhan (Complex., 2018)

A keyword-based combination approach for detecting phishing webpages. - Yan Ding 004; Nurbol Luktarhan; Keqin Li 001; Wushour Slamu (Comput. Secur., 2019)

WS-LSMR: Malicious WebShell Detection Algorithm Based on Ensemble Learning. - Zhuang Ai; Nurbol Luktarhan; Yuxin Zhao; Chaofei Tang (IEEE Access, 2020)

WebShell Attack Detection Based on a Deep Super Learner. - Zhuang Ai; Nurbol Luktarhan; AiJun Zhou; Dan Lv (Symmetry, 2020)

An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder. - Chaofei Tang; Nurbol Luktarhan; Yuxin Zhao (Symmetry, 2020)

SAAE-DNN: Deep Learning Method on Intrusion Detection. - Chaofei Tang; Nurbol Luktarhan; Yuxin Zhao (Symmetry, 2020)

A Hybrid Analysis-Based Approach to Android Malware Family Classification. - Chao Ding; Nurbol Luktarhan; Bei Lu; Wenhui Zhang (Entropy, 2021)

Webshell detection with byte-level features based on deep learning. - Xiao Zhongzheng; Nurbol Luktarhan (J. Intell. Fuzzy Syst., 2021)

ConAnomaly: Content-Based Anomaly Detection for System Logs. - Dan Lv; Nurbol Luktarhan; Yiyong Chen (Sensors, 2021)

ICLSTM: Encrypted Traffic Service Identification Based on Inception-LSTM Neural Network. - Bei Lu; Nurbol Luktarhan; Chao Ding; Wenhui Zhang (Symmetry, 2021)

Android Malware Detection Using TCN with Bytecode Image. - Wenhui Zhang; Nurbol Luktarhan; Chao Ding; Bei Lu (Symmetry, 2021)

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA). - AiJun Zhou; Nurbol Luktarhan; Zhuang Ai (Symmetry, 2021)

LogLS: Research on System Log Anomaly Detection Method Based on Dual LSTM. - Yiyong Chen; Nurbol Luktarhan; Dan Lv (Symmetry, 2022)

Attention-Based BiLSTM For Malware Family Classification. - Yonglin Liao; Nurbol Luktarhan; Yue Wang 149; Qinlin Chen (CNIOT, 2023)

TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM. - Zhaolei Shi; Nurbol Luktarhan; Yangyang Song; Huixin Yin (Entropy, 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)

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)

GBADroid: an Android malware detection method based on multi-view feature fusion. - Yi Meng; Nurbol Luktarhan; Xiaotong Yang; Guodong Zhao (J. Supercomput., 2025)