Overview of Monitor Selection in Computer Networks. - Nafei Zhu; Jiaping Zuo; Yue Zhou; Wei Wang 025 (ISCTCS, 2012)

Experimental Study of the Similarity of Network Nodes based on RTT. - Nafei Zhu; Jingsha He (J. Networks, 2012)

On the Accuracy of Packet Delay Estimation in Distributed Service Networks. - Nafei Zhu; Jingsha He; Yue Zhou; Wei Wang (J. Netw. Syst. Manag., 2013)

Access Control for Privacy Protection for Dynamic and Correlated Databases. - Nafei Zhu; Min Zhang 043; Dengguo Feng; Jingsha He (SmartCity, 2015)

How Well Can WordNet Measure Privacy: A Comparative Study? - Nafei Zhu; Min Zhang 043; Dengguo Feng; Jingsha He (SKG, 2017)

A Novel Method for Detecting Image Forgery Based on Convolutional Neural Network. - Na Huang 002; Jingsha He; Nafei Zhu (TrustCom/BigDataSE, 2018)

Identification of the source camera of images based on convolutional neural network. - Na Huang 002; Jingsha He; Nafei Zhu; Xinggang Xuan; Gongzheng Liu; Chengyue Chang (Digit. Investig., 2018)

Mobile beacon-based adaptive time synchronization for wireless sensor networks. - Jingsha He; Xinggang Xuan; Nafei Zhu; Na Huang 002; Peng He (EURASIP J. Wirel. Commun. Netw., 2018)

MinHash-Based Fuzzy Keyword Search of Encrypted Data across Multiple Cloud Servers. - Jingsha He; Jianan Wu; Nafei Zhu; Muhammad Salman Pathan (Future Internet, 2018)

An Efficient Trust-Based Scheme for Secure and Quality of Service Routing in MANETs. - Muhammad Salman Pathan; Nafei Zhu; Jingsha He; Zulfiqar Ali Zardari; Muhammad Qasim Memon; Muhammad Iftikhar Hussain (Future Internet, 2018)

On the Suitability of Applying WordNet to Privacy Measurement. - Nafei Zhu; Siyu Wang; Jingsha He; Da Teng; Peng He; Yuqiang Zhang (Wirel. Pers. Commun., 2018)

Pyramid Text Recognition Based on A New Text Representation Model. - Shaoxun Su; Nafei Zhu; Jingsha He (ICNSC, 2019)

Text Classification of Network Pyramid Scheme based on Topic Model. - Pengyu Mu; Jingsha He; Nafei Zhu (NLPIR, 2019)

Survey of access control models and technologies for cloud computing. - Fangbo Cai; Nafei Zhu; Jingsha He; Pengyu Mu; Wenxin Li; Yi Yu (Clust. Comput., 2019)

Management of access privileges for dynamic access control. - Nafei Zhu; Fangbo Cai; Jingsha He; Yixuan Zhang 004; Wenxin Li; Zhao Li (Clust. Comput., 2019)

A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs. - Zulfiqar Ali Zardari; Jingsha He; Nafei Zhu; Khalid Hussain Mohammadani; Muhammad Salman Pathan; Muhammad Iftikhar Hussain; Muhammad Qasim Memon (Future Internet, 2019)

A Scheme for Finding and Blocking to Isolate Black Hole Nodes in Mobile Ad Hoc Networks. - Zulfiqar Ali Zardari; Jingsha He; Nafei Zhu; Muhammad Salman Pathan; Muhammad Qasim Memon; Muhammad Iftikhar Hussain; Peng He; Chengyue Chang (Int. J. Netw. Secur., 2019)

Collaborative Filtering Recommendation Based on Multi-Domain Semantic Fusion. - Xiang Li; Jingsha He; Nafei Zhu; Ziqiang Hou (COMPSAC, 2020)

A Semantic Inference Based Method for Privacy Measurement. - Baocun Chen; Nafei Zhu; Jingsha He; Peng He; Shuting Jin; Shijia Pan (IEEE Access, 2020)

An Efficient Authentication Protocol for Wireless Mesh Networks "In Prepress". - Peng Zhai; Jingsha He; Nafei Zhu; Peng He; Yao Liang (J. Web Eng., 2020)

ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks. - Musa Osman; Jingsha He; Fawaz Mahiuob Mohammed Mokbal; Nafei Zhu; Sirajuddin Qureshi (IEEE Access, 2021)

A Hybrid DL-Based Detection Mechanism for Cyber Threats in Secure Networks. - Sirajuddin Qureshi; Jingsha He; Saima Tunio; Nafei Zhu; Faheem Akhtar; Faheem Ullah; Ahsan Nazir; Ahsan Wajahat (IEEE Access, 2021)

Security enhancement technologies for smart contracts in the blockchain: A survey. - Yajing Wang; Jingsha He; Nafei Zhu; Yuzi Yi; Qingqing Zhang; Hongyu Song; Ruixin Xue (Trans. Emerg. Telecommun. Technol., 2021)

A Multi-Model Approach for User Portrait. - Yanbo Chen; Jingsha He; Wei Wei; Nafei Zhu; Cong Yu 015 (Future Internet, 2021)

An authorisation certificate-based access control model. - Wenxin Li; Jingsha He; Nafei Zhu; Shuting Jin; Da Teng (Int. J. Secur. Networks, 2021)

Proof-of-Contribution consensus mechanism for blockchain and its application in intellectual property protection. - Hongyu Song; Nafei Zhu; Ruixin Xue; Jingsha He; Kun Zhang; Jianyu Wang (Inf. Process. Manag., 2021)

An archetype for mitigating the security threats in multi-cloud environment by implementing tree-based next-generation firewalls. - Muhammad Iftikhar Hussain; Jingsha He; Nafei Zhu; Zulfiqar Ali Zardari; Fahad Razque; Saqib Hussain; Muhammad Salman Pathan (J. Intell. Fuzzy Syst., 2021)

Toward pragmatic modeling of privacy information propagation in online social networks. - Yuzi Yi; Nafei Zhu; Jingsha He; Anca Delia Jurcut; Bin Zhao 005 (Comput. Networks, 2022)

Privacy Disclosure in the Real World: An Experimental Study. - Siyu Wang; Nafei Zhu; Jingsha He; Da Teng; Yue Yang (Int. J. Inf. Secur. Priv., 2022)

Ontology-Based Approach for the Measurement of Privacy Disclosure. - Nafei Zhu; Baocun Chen; Siyu Wang; Da Teng; Jingsha He (Inf. Syst. Frontiers, 2022)

Social influence-based privacy inference attacks in online social networks. - Yuzi Yi; Jingsha He; Nafei Zhu; Xiangjun Ma (Secur. Priv., 2022)

Improving Data Utilization of K-anonymity through Clustering Optimization. - Hewen Wang; Jingsha He; Nafei Zhu (Trans. Data Priv., 2022)

A new Asymmetric Link Quality Routing protocol (ALQR) for heterogeneous WSNs. - Fahad Razaque Mughal; Jingsha He; Nafei Zhu; Ghulam Ali Mallah; Ziyue Qiao; Amir Haider; Saqib Hussain; Muhammad Iftikhar Hussain; Zulfiqar Ali Zardari (Microprocess. Microsystems, 2022)

Priv-S: Privacy-Sensitive Data Identification in Online Social Networks. - Yuzi Yi; Nafei Zhu; Jingsha He; Xiangjun Ma; Yehong Luo (WISE, 2023)

Differentially Private Denoise Diffusion Probability Models. - Zhiguang Chu; Jingsha He; Dongdong Peng; Xing Zhang; Nafei Zhu (IEEE Access, 2023)

An adaptive semi-supervised deep learning-based framework for the detection of Android malware. - Ahsan Wajahat; Jingsha He; Nafei Zhu; Tariq Mahmood 001; Ahsan Nazir; Muhammad Salman Pathan; Sirajuddin Qureshi; Faheem Ullah (J. Intell. Fuzzy Syst., 2023)

Bitcoin transaction pattern recognition based on semi-supervised learning. - Ruixin Xue; Nafei Zhu; Jingsha He; Lin He (J. Comput. Sci., 2023)

A privacy-dependent condition-based privacy-preserving information sharing scheme in online social networks. - Yuzi Yi; Nafei Zhu; Jingsha He; Anca Delia Jurcut; Xiangjun Ma; Yehong Luo (Comput. Commun., 2023)

A Game Theory-Based Model for the Dissemination of Privacy Information in Online Social Networks. - Jingsha He; Yue Li; Nafei Zhu (Future Internet, 2023)

Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets. - Ahsan Nazir; Jingsha He; Nafei Zhu; Ahsan Wajahat; Xiangjun Ma; Faheem Ullah; Sirajuddin Qureshi; Muhammad Salman Pathan (J. King Saud Univ. Comput. Inf. Sci., 2023)

Ensemble Learning Techniques for the Detection of IoT Botnets. - Ahsan Nazir; Jingsha He; Nafei Zhu; Xiangjun Ma; Faheem Ullah; Sirajuddin Qureshi; Ahsan Wajahat (CSAIDE, 2024)

Secure Searchable Encryption Based on Local Differential Privacy. - Xiaoyan Liang; Jingsha He; Nafei Zhu (ISSSR, 2024)

Interaction behavior enhanced community detection in online social networks. - Xiangjun Ma; Jingsha He; Tiejun Wu; Nafei Zhu; Yakang Hua (Comput. Commun., 2024)

An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources. - Ahsan Wajahat; Jingsha He; Nafei Zhu; Tariq Mahmood 001; Ahsan Nazir; Faheem Ullah; Sirajuddin Qureshi; Musa Osman (Intell. Decis. Technol., 2024)

Systematic review of deep learning solutions for malware detection and forensic analysis in IoT. - Sirajuddin Qureshi; Jingsha He; Saima Tunio; Nafei Zhu; Ahsan Nazir; Ahsan Wajahat; Faheem Ullah; Abdul Wadud (J. King Saud Univ. Comput. Inf. Sci., 2024)

An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach. - Musa Osman; Jingsha He; Nafei Zhu; Fawaz Mahiuob Mohammed Mokbal (Ad Hoc Networks, 2024)

Resource management in multi-heterogeneous cluster networks using intelligent intra-clustered federated learning. - Fahad Razaque Mughal; Jingsha He; Nafei Zhu; Saqib Hussain; Zulfiqar Ali Zardari; Ghulam Ali Mallah; Md. Jalil Piran; Fayaz Ali Dharejo (Comput. Commun., 2024)

A privacy-sensitive data identification model in online social networks. - Yuzi Yi; Nafei Zhu; Jingsha He; Anca Delia Jurcut; Xiangjun Ma; Yehong Luo (Trans. Emerg. Telecommun. Technol., 2024)

Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration. - Ahsan Nazir; Jingsha He; Nafei Zhu; Ahsan Wajahat; Faheem Ullah; Sirajuddin Qureshi; Xiangjun Ma; Muhammad Salman Pathan (J. King Saud Univ. Comput. Inf. Sci., 2024)

An intelligent Hybrid-Q Learning clustering approach and resource management within heterogeneous cluster networks based on reinforcement learning. - Fahad Razaque Mughal; Jingsha He; Nafei Zhu; Mutiq Almutiq; Fayaz Ali Dharejo; Deepak Kumar Jain 001; Saqib Hussain; Zulfiqar Ali Zardari (Trans. Emerg. Telecommun. Technol., 2024)

Modeling the dissemination of privacy information in online social networks. - Nafei Zhu; Wenhui Li; Shijia Pan; Shuting Jin; Jingsha He (Trans. Emerg. Telecommun. Technol., 2024)

An Evolutionary Game Theory-Based Cooperation Framework for Countering Privacy Inference Attacks. - Yuzi Yi; Nafei Zhu; Jingsha He; Anca Delia Jurcut; Xiangjun Ma; Yehong Luo (IEEE Trans. Comput. Soc. Syst., 2024)

A scalable blockchain storage scheme for VANET. - Wenxiang Wei; Nafei Zhu; Jian Wang; Hongyu Song; Jingsha He (Clust. Comput., 2024)

Toward designing highly effective and efficient consensus mechanisms for blockchain-based applications. - Nafei Zhu; Yue Yang; Weidong Du; Yu Gan; Jingsha He (Clust. Comput., 2024)

Enhancing IoT security: a collaborative framework integrating federated learning, dense neural networks, and blockchain. - Ahsan Nazir; Jingsha He; Nafei Zhu; Muhammad Shahid Anwar; Muhammad Salman Pathan (Clust. Comput., 2024)

HADTF: a hybrid autoencoder-decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach. - Musa Osman; Jingsha He; Nafei Zhu; Fawaz Mahiuob Mohammed Mokbal; Asaad Ahmed (J. Supercomput., 2024)

Trajectory privacy preservation model based on LSTM-DCGAN. - Jiajia Hu; Jingsha He; Nafei Zhu; Lu Qu (Future Gener. Comput. Syst., 2025)

A Meta-Reinforcement Learning Framework Using Deep Q-Networks and GCNs for Graph Cluster Representation. - Fahad Razaque Mughal; Jingsha He; Saqib Hussain; Nafei Zhu; Abdullah Raza Lakhan; Muhammad Saddam Khokhar (Softw. Pract. Exp., 2025)

Privacy information propagation in online social networks - a case study based on Weibo data. - Yehong Luo; Nafei Zhu; Ziwen Wang; Lei Sun; Jingsha He; Anca Delia Jurcut; Yuzi Yi; Xiangjun Ma (Int. J. Inf. Sec., 2025)

Ehr management evolution through purpose-based access control and blockchain smart contracts. - Faheem Ullah; Jingsha He; Nafei Zhu; Ahsan Wajahat; Ahsan Nazir; Sirajuddin Qureshi; Hasan Shahzad (Int. J. Inf. Sec., 2025)

Empirical evaluation of ensemble learning and hybrid CNN-LSTM for IoT threat detection on heterogeneous datasets. - Ahsan Nazir; Jingsha He; Nafei Zhu; Ahsan Wajahat; Fahim Ullah; Sirajuddin Qureshi; Muhammad Salman Pathan (J. Supercomput., 2025)