Nafei Zhu

According to our database, Nafei Zhu authored at least 58 papers between 2012 and 2025.

Collaborative distances:

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

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., February, 2025

Trajectory privacy preservation model based on LSTM-DCGAN.

Jiajia Hu, Jingsha He, Nafei Zhu, Lu Qu

Future Gener. Comput. Syst., 2025

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., December, 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., September, 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., August, 2024

A scalable blockchain storage scheme for VANET.

Wenxiang Wei, Nafei Zhu, Jian Wang, Hongyu Song, Jingsha He

Clust. Comput., July, 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., June, 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., June, 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, Saqib Hussain, Zulfiqar Ali Zardari

Trans. Emerg. Telecommun. Technol., April, 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., February, 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., January, 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., January, 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, January, 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 effective deep learning scheme for android malware detection leveraging performance metrics and computational resources.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman

Intell. Decis. Technol., 2024

Interaction behavior enhanced community detection in online social networks.

Xiangjun Ma, Jingsha He, Tiejun Wu, Nafei Zhu, Yakang Hua

Comput. Commun., 2024

Ensemble Learning Techniques for the Detection of IoT Botnets.

Ahsan Nazir, Jingsha He, Nafei Zhu, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Ahsan Wajahat

Proceedings of the 2024 3rd International Conference on Cyber Security, 2024

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., December, 2023

A Game Theory-Based Model for the Dissemination of Privacy Information in Online Social Networks.

Jingsha He, Yue Li, Nafei Zhu

Future Internet, March, 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., February, 2023

Bitcoin transaction pattern recognition based on semi-supervised learning.

Ruixin Xue, Nafei Zhu, Jingsha He, Lin He

J. Comput. Sci., 2023

An adaptive semi-supervised deep learning-based framework for the detection of Android malware.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah

J. Intell. Fuzzy Syst., 2023

SDN-enabled Deep Learning based Detection Mechanism (DDM) to tackle DDoS attacks in IoTs.

Saima Siraj Qureshi, Jingsha He, Sirajuddin Qureshi, Nafei Zhu, Zulfiqar Ali Zardari, Tariq Mahmood, Ahsan Wajahat

J. Intell. Fuzzy Syst., 2023

Differentially Private Denoise Diffusion Probability Models.

Zhiguang Chu, Jingsha He, Dongdong Peng, Xing Zhang, Nafei Zhu

IEEE Access, 2023

Priv-S: Privacy-Sensitive Data Identification in Online Social Networks.

Yuzi Yi, Nafei Zhu, Jingsha He, Xiangjun Ma, Yehong Luo

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

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, September, 2022

Improving Data Utilization of K-anonymity through Clustering Optimization.

Hewen Wang, Jingsha He, Nafei Zhu

Trans. Data Priv., 2022

Social influence-based privacy inference attacks in online social networks.

Yuzi Yi, Jingsha He, Nafei Zhu, Xiangjun Ma

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

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

Toward pragmatic modeling of privacy information propagation in online social networks.

Yuzi Yi, Nafei Zhu, Jingsha He, Anca Delia Jurcut, Bin Zhao

Comput. Networks, 2022

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

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 authorisation certificate-based access control model.

Wenxin Li, Jingsha He, Nafei Zhu, Shuting Jin, Da Teng

Int. J. Secur. Networks, 2021

A Multi-Model Approach for User Portrait.

Yanbo Chen, Jingsha He, Wei Wei, Nafei Zhu, Cong Yu

Future Internet, 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 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

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

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

A Semantic Inference Based Method for Privacy Measurement.

Baocun Chen, Nafei Zhu, Jingsha He, Peng He, Shuting Jin, Shijia Pan

IEEE Access, 2020

Collaborative Filtering Recommendation Based on Multi-Domain Semantic Fusion.

Xiang Li, Jingsha He, Nafei Zhu, Ziqiang Hou

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

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

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

Management of access privileges for dynamic access control.

Nafei Zhu, Fangbo Cai, Jingsha He, Yixuan Zhang, Wenxin Li, Zhao Li

Clust. Comput., 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

Text Classification of Network Pyramid Scheme based on Topic Model.

Pengyu Mu, Jingsha He, Nafei Zhu

Proceedings of the NLPIR 2019: The 3rd International Conference on Natural Language Processing and Information Retrieval, Tokushima, Japan, June 28, 2019

Pyramid Text Recognition Based on A New Text Representation Model.

Shaoxun Su, Nafei Zhu, Jingsha He

Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

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

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

MinHash-Based Fuzzy Keyword Search of Encrypted Data across Multiple Cloud Servers.

Jingsha He, Jianan Wu, Nafei Zhu, Muhammad Salman Pathan

Future Internet, 2018

Mobile beacon-based adaptive time synchronization for wireless sensor networks.

Jingsha He, Xinggang Xuan, Nafei Zhu, Na Huang, Peng He

EURASIP J. Wirel. Commun. Netw., 2018

Identification of the source camera of images based on convolutional neural network.

Na Huang, Jingsha He, Nafei Zhu, Xinggang Xuan, Gongzheng Liu, Chengyue Chang

Digit. Investig., 2018

A Novel Method for Detecting Image Forgery Based on Convolutional Neural Network.

Na Huang, Jingsha He, Nafei Zhu

Proceedings of the 17th IEEE International Conference On Trust, 2018

2017

How Well Can WordNet Measure Privacy: A Comparative Study?

Nafei Zhu, Min Zhang, Dengguo Feng, Jingsha He

Proceedings of the 13th International Conference on Semantics, Knowledge and Grids, 2017

2015

Access Control for Privacy Protection for Dynamic and Correlated Databases.

Nafei Zhu, Min Zhang, Dengguo Feng, Jingsha He

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2013

On the Accuracy of Packet Delay Estimation in Distributed Service Networks.

Nafei Zhu, Jingsha He, Yue Zhou, Wei Wang

J. Netw. Syst. Manag., 2013

2012

Experimental Study of the Similarity of Network Nodes based on RTT.

Nafei Zhu, Jingsha He

J. Networks, 2012

Overview of Monitor Selection in Computer Networks.

Nafei Zhu, Jiaping Zuo, Yue Zhou, Wei Wang

Proceedings of the Trustworthy Computing and Services - International Conference, ISCTCS 2012, Beijing, China, May 28, 2012