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2020 – today
- 2025
[j49]Jiajia Hu, Jingsha He, Nafei Zhu, Lu Qu:
Trajectory privacy preservation model based on LSTM-DCGAN. Future Gener. Comput. Syst. 163: 107496 (2025)- [j48]Yehong Luo, Nafei Zhu, Ziwen Wang, Lei Sun, Jingsha He, Anca Delia Jurcut, Yuzi Yi, Xiangjun Ma:
Privacy information propagation in online social networks - a case study based on Weibo data. Int. J. Inf. Sec. 24(1): 32 (2025) - 2024
- [j47]Musa Osman
, Jingsha He, Nafei Zhu, Fawaz Mahiuob Mohammed Mokbal:
An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach. Ad Hoc Networks 152: 103331 (2024) - [j46]Wenxiang Wei, Nafei Zhu, Jian Wang, Hongyu Song, Jingsha He:
A scalable blockchain storage scheme for VANET. Clust. Comput. 27(4): 3957-3981 (2024) - [j45]Nafei Zhu, Yue Yang, Weidong Du, Yu Gan, Jingsha He:
Toward designing highly effective and efficient consensus mechanisms for blockchain-based applications. Clust. Comput. 27(5): 5677-5698 (2024) - [j44]Ahsan Nazir, Jingsha He, Nafei Zhu, Muhammad Shahid Anwar, Muhammad Salman Pathan:
Enhancing IoT security: a collaborative framework integrating federated learning, dense neural networks, and blockchain. Clust. Comput. 27(6): 8367-8392 (2024) - [j43]Fahad Razaque Mughal, Jingsha He, Nafei Zhu, Saqib Hussain, Zulfiqar Ali Zardari, Ghulam Ali Mallah, Md. Jalil Piran, Fayaz Ali Dharejo:
Resource management in multi-heterogeneous cluster networks using intelligent intra-clustered federated learning. Comput. Commun. 213: 236-245 (2024) - [j42]Xiangjun Ma, Jingsha He, Tiejun Wu, Nafei Zhu, Yakang Hua:
Interaction behavior enhanced community detection in online social networks. Comput. Commun. 219: 92-103 (2024) - [j41]Yuzi Yi, Nafei Zhu, Jingsha He, Anca Delia Jurcut, Xiangjun Ma, Yehong Luo:
A privacy-sensitive data identification model in online social networks. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - [j40]Fahad Razaque Mughal, Jingsha He, Nafei Zhu, Mutiq Almutiq, Fayaz Ali Dharejo, Deepak Kumar Jain, Saqib Hussain, Zulfiqar Ali Zardari:
An intelligent Hybrid-Q Learning clustering approach and resource management within heterogeneous cluster networks based on reinforcement learning. Trans. Emerg. Telecommun. Technol. 35(4) (2024) - [j39]Nafei Zhu, Wenhui Li, Shijia Pan, Shuting Jin, Jingsha He:
Modeling the dissemination of privacy information in online social networks. Trans. Emerg. Telecommun. Technol. 35(6) (2024) - [j38]Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman:
An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources. Intell. Decis. Technol. 18(1): 33-55 (2024) - [j37]Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Faheem Ullah, Sirajuddin Qureshi, Xiangjun Ma, Muhammad Salman Pathan:
Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101939 (2024) - [j36]Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Ahsan Nazir, Ahsan Wajahat, Faheem Ullah, Abdul Wadud:
Systematic review of deep learning solutions for malware detection and forensic analysis in IoT. J. King Saud Univ. Comput. Inf. Sci. 36(8): 102164 (2024) - [j35]Yuzi Yi, Nafei Zhu, Jingsha He, Anca Delia Jurcut, Xiangjun Ma, Yehong Luo:
An Evolutionary Game Theory-Based Cooperation Framework for Countering Privacy Inference Attacks. IEEE Trans. Comput. Soc. Syst. 11(3): 4367-4384 (2024) - [j34]Musa Osman, Jingsha He, Nafei Zhu, Fawaz Mahiuob Mohammed Mokbal, Asaad Ahmed:
HADTF: a hybrid autoencoder-decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach. J. Supercomput. 80(18): 26333-26362 (2024) - [c9]Ahsan Nazir, Jingsha He, Nafei Zhu, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Ahsan Wajahat:
Ensemble Learning Techniques for the Detection of IoT Botnets. CSAIDE 2024: 80-85 - 2023
- [j33]Zhiguang Chu, Jingsha He, Dongdong Peng, Xing Zhang, Nafei Zhu:
Differentially Private Denoise Diffusion Probability Models. IEEE Access 11: 108033-108040 (2023) - [j32]Yuzi Yi, Nafei Zhu, Jingsha He, Anca Delia Jurcut, Xiangjun Ma, Yehong Luo:
A privacy-dependent condition-based privacy-preserving information sharing scheme in online social networks. Comput. Commun. 200: 149-160 (2023) - [j31]Jingsha He, Yue Li, Nafei Zhu:
A Game Theory-Based Model for the Dissemination of Privacy Information in Online Social Networks. Future Internet 15(3): 92 (2023) - [j30]Saima Siraj Qureshi, Jingsha He, Sirajuddin Qureshi, Nafei Zhu, Zulfiqar Ali Zardari, Tariq Mahmood, Ahsan Wajahat:
SDN-enabled Deep Learning based Detection Mechanism (DDM) to tackle DDoS attacks in IoTs. J. Intell. Fuzzy Syst. 44(6): 10675-10687 (2023) - [j29]Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah:
An adaptive semi-supervised deep learning-based framework for the detection of Android malware. J. Intell. Fuzzy Syst. 45(3): 5141-5157 (2023) - [j28]Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Muhammad Salman Pathan:
Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101820 (2023) - [j27]Ruixin Xue, Nafei Zhu, Jingsha He, Lin He:
Bitcoin transaction pattern recognition based on semi-supervised learning. J. Comput. Sci. 71: 102055 (2023) - [c8]Yuzi Yi, Nafei Zhu, Jingsha He, Xiangjun Ma, Yehong Luo:
Priv-S: Privacy-Sensitive Data Identification in Online Social Networks. WISE 2023: 220-234 - 2022
- [j26]Yuzi Yi, Nafei Zhu, Jingsha He, Anca Delia Jurcut, Bin Zhao:
Toward pragmatic modeling of privacy information propagation in online social networks. Comput. Networks 219: 109429 (2022) - [j25]Siyu Wang, Nafei Zhu, Jingsha He, Da Teng, Yue Yang:
Privacy Disclosure in the Real World: An Experimental Study. Int. J. Inf. Secur. Priv. 16(1): 1-22 (2022) - [j24]Nafei Zhu, Baocun Chen, Siyu Wang, Da Teng, Jingsha He:
Ontology-Based Approach for the Measurement of Privacy Disclosure. Inf. Syst. Frontiers 24(5): 1689-1707 (2022) - [j23]Fahad Razaque Mughal, Jingsha He, Nafei Zhu, Ghulam Ali Mallah, Ziyue Qiao, Amir Haider, Saqib Hussain, Muhammad Iftikhar Hussain, Zulfiqar Ali Zardari:
A new Asymmetric Link Quality Routing protocol (ALQR) for heterogeneous WSNs. Microprocess. Microsystems 93: 104617 (2022) - [j22]Yuzi Yi, Jingsha He, Nafei Zhu, Xiangjun Ma:
Social influence-based privacy inference attacks in online social networks. Secur. Priv. 5(2) (2022) - [j21]Hewen Wang, Jingsha He, Nafei Zhu:
Improving Data Utilization of K-anonymity through Clustering Optimization. Trans. Data Priv. 15(3): 177-192 (2022) - 2021
- [j20]Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Faheem Akhtar, Faheem Ullah, Ahsan Nazir, Ahsan Wajahat:
A Hybrid DL-Based Detection Mechanism for Cyber Threats in Secure Networks. IEEE Access 9: 73938-73947 (2021) - [j19]Musa Osman, Jingsha He, Fawaz Mahiuob Mohammed Mokbal, Nafei Zhu, Sirajuddin Qureshi:
ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks. IEEE Access 9: 83654-83665 (2021) - [j18]Yajing Wang, Jingsha He, Nafei Zhu, Yuzi Yi, Qingqing Zhang, Hongyu Song, Ruixin Xue:
Security enhancement technologies for smart contracts in the blockchain: A survey. Trans. Emerg. Telecommun. Technol. 32(12) (2021) - [j17]Yanbo Chen, Jingsha He, Wei Wei, Nafei Zhu, Cong Yu:
A Multi-Model Approach for User Portrait. Future Internet 13(6): 147 (2021) - [j16]Wenxin Li, Jingsha He, Nafei Zhu, Shuting Jin, Da Teng:
An authorisation certificate-based access control model. Int. J. Secur. Networks 16(4): 258-266 (2021) - [j15]Hongyu Song, Nafei Zhu, Ruixin Xue, Jingsha He, Kun Zhang, Jianyu Wang:
Proof-of-Contribution consensus mechanism for blockchain and its application in intellectual property protection. Inf. Process. Manag. 58(3): 102507 (2021) - [j14]Muhammad Iftikhar Hussain, Jingsha He, Nafei Zhu, Zulfiqar Ali Zardari, Fahad Razque, Saqib Hussain, Muhammad Salman Pathan:
An archetype for mitigating the security threats in multi-cloud environment by implementing tree-based next-generation firewalls. J. Intell. Fuzzy Syst. 41(1): 125-136 (2021) - 2020
- [j13]Baocun Chen, Nafei Zhu, Jingsha He, Peng He, Shuting Jin, Shijia Pan:
A Semantic Inference Based Method for Privacy Measurement. IEEE Access 8: 200112-200128 (2020) - [j12]Peng Zhai, Jingsha He, Nafei Zhu, Peng He, Yao Liang:
An Efficient Authentication Protocol for Wireless Mesh Networks "In Prepress". J. Web Eng. 19(7-8): 230-243 (2020) - [c7]Xiang Li, Jingsha He, Nafei Zhu, Ziqiang Hou:
Collaborative Filtering Recommendation Based on Multi-Domain Semantic Fusion. COMPSAC 2020: 255-261
2010 – 2019
- 2019
- [j11]Fangbo Cai, Nafei Zhu, Jingsha He, Pengyu Mu, Wenxin Li, Yi Yu:
Survey of access control models and technologies for cloud computing. Clust. Comput. 22(Supplement): 6111-6122 (2019) - [j10]Nafei Zhu, Fangbo Cai, Jingsha He, Yixuan Zhang, Wenxin Li, Zhao Li:
Management of access privileges for dynamic access control. Clust. Comput. 22(Supplement): 8899-8917 (2019) - [j9]Zulfiqar Ali Zardari, Jingsha He, Nafei Zhu, Khalid Hussain Mohammadani, Muhammad Salman Pathan, Muhammad Iftikhar Hussain, Muhammad Qasim Memon:
A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs. Future Internet 11(3): 61 (2019) - [j8]Zulfiqar Ali Zardari, Jingsha He, Nafei Zhu, Muhammad Salman Pathan, Muhammad Qasim Memon, Muhammad Iftikhar Hussain, Peng He, Chengyue Chang:
A Scheme for Finding and Blocking to Isolate Black Hole Nodes in Mobile Ad Hoc Networks. Int. J. Netw. Secur. 21(6): 1021-1030 (2019) - [c6]Shaoxun Su, Nafei Zhu, Jingsha He:
Pyramid Text Recognition Based on A New Text Representation Model. ICNSC 2019: 195-199 - [c5]Pengyu Mu, Jingsha He, Nafei Zhu:
Text Classification of Network Pyramid Scheme based on Topic Model. NLPIR 2019: 15-19 - 2018
- [j7]Na Huang, Jingsha He, Nafei Zhu, Xinggang Xuan, Gongzheng Liu, Chengyue Chang:
Identification of the source camera of images based on convolutional neural network. Digit. Investig. 26: 72-80 (2018) - [j6]Jingsha He, Xinggang Xuan, Nafei Zhu, Na Huang, Peng He:
Mobile beacon-based adaptive time synchronization for wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2018: 220 (2018) - [j5]Muhammad Salman Pathan, Nafei Zhu, Jingsha He, Zulfiqar Ali Zardari, Muhammad Qasim Memon, Muhammad Iftikhar Hussain:
An Efficient Trust-Based Scheme for Secure and Quality of Service Routing in MANETs. Future Internet 10(2): 16 (2018) - [j4]Jingsha He, Jianan Wu, Nafei Zhu, Muhammad Salman Pathan:
MinHash-Based Fuzzy Keyword Search of Encrypted Data across Multiple Cloud Servers. Future Internet 10(5): 38 (2018) - [j3]Nafei Zhu, Siyu Wang, Jingsha He, Da Teng, Peng He, Yuqiang Zhang:
On the Suitability of Applying WordNet to Privacy Measurement. Wirel. Pers. Commun. 103(1): 359-378 (2018) - [c4]Na Huang, Jingsha He, Nafei Zhu:
A Novel Method for Detecting Image Forgery Based on Convolutional Neural Network. TrustCom/BigDataSE 2018: 1702-1705 - 2017
- [c3]Nafei Zhu, Min Zhang, Dengguo Feng, Jingsha He:
How Well Can WordNet Measure Privacy: A Comparative Study? SKG 2017: 45-49 - 2015
- [c2]Nafei Zhu, Min Zhang, Dengguo Feng, Jingsha He:
Access Control for Privacy Protection for Dynamic and Correlated Databases. SmartCity 2015: 775-779 - 2013
- [j2]Nafei Zhu, Jingsha He, Yue Zhou, Wei Wang:
On the Accuracy of Packet Delay Estimation in Distributed Service Networks. J. Netw. Syst. Manag. 21(4): 623-649 (2013) - 2012
- [j1]Nafei Zhu, Jingsha He:
Experimental Study of the Similarity of Network Nodes based on RTT. J. Networks 7(9): 1423-1430 (2012) - [c1]Nafei Zhu, Jiaping Zuo, Yue Zhou, Wei Wang:
Overview of Monitor Selection in Computer Networks. ISCTCS 2012: 52-59
Coauthor Index
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