| CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles L Li, J Liu, L Cheng, S Qiu, W Wang, X Zhang, Z Zhang IEEE Transactions on Intelligent Transportation Systems, 2018 | 623 | 2018 |
| Exploring permission-induced risk in Android applications for malicious application detection W Wang, X Wang, D Feng, J Liu, Z Han, X Zhang IEEE Transactions on Information Forensics and Security 9 (11), 1869-1882, 2014 | 404 | 2014 |
| Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network W Wang, M Zhao, J Wang Journal of Ambient Intelligence and Humanized Computing 10, 3035-3043, 2019 | 314 | 2019 |
| Contractward: Automated vulnerability detection models for ethereum smart contracts W Wang, J Song, G Xu, Y Li, H Wang, C Su IEEE Transactions on Network Science and Engineering 8 (2), 1133-1144, 2020 | 307 | 2020 |
| Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers W Wang, Y Li, X Wang, J Liu, X Zhang Future Generation Computer Systems 78, 987-994, 2018 | 261 | 2018 |
| BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors W Wang, Y Shang, Y He, Y Li, J Liu Information Sciences 511, 284-296, 2020 | 212 | 2020 |
| Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives P Liu, X Xu, W Wang Cybersecurity 5 (1), 4, 2022 | 199 | 2022 |
| An out-of-band authentication scheme for internet of things using blockchain technology L Wu, X Du, W Wang, B Lin 2018 International Conference on Computing, Networking and Communications …, 2018 | 191 | 2018 |
| DAPASA: detecting android piggybacked apps through sensitive subgraph analysis M Fan, J Liu, W Wang, H Li, Z Tian, T Liu IEEE Transactions on Information Forensics and Security 12 (8), 1772-1785, 2017 | 151 | 2017 |
| Privacy risk analysis and mitigation of analytics libraries in the android ecosystem X Liu, J Liu, S Zhu, W Wang, X Zhang IEEE Transactions on Mobile Computing 19 (5), 1184-1199, 2019 | 150 | 2019 |
| Vulnerability detection with deep learning F Wu, J Wang, J Liu, W Wang 2017 3rd IEEE International Conference on Computer and Communications (ICCC …, 2017 | 143 | 2017 |
| Identifying intrusions in computer networks with principal component analysis W Wang, R Battiti First International Conference on Availability, Reliability and Security …, 2006 | 143 | 2006 |
| Attribute normalization in network intrusion detection W Wang, X Zhang, S Gombault, SJ Knapskog 2009 10th International Symposium on Pervasive Systems, Algorithms, and …, 2009 | 127 | 2009 |
| Constructing features for detecting android malicious applications: issues, taxonomy and directions W Wang, M Zhao, Z Gao, G Xu, H Xian, Y Li, X Zhang IEEE Access 7, 67602-67631, 2019 | 126 | 2019 |
| Processing of massive audit data streams for real-time anomaly intrusion detection W Wang, X Guan, X Zhang Computer Communications 31 (1), 58-72, 2008 | 126 | 2008 |
| DroidEnsemble: Detecting Android malicious applications with ensemble of string and structural static features W Wang, Z Gao, M Zhao, Y Li, J Liu, X Zhang IEEE Access 6, 31798-31807, 2018 | 122 | 2018 |
| Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks W Wang, T Guyet, R Quiniou, MO Cordier, F Masseglia, X Zhang Knowledge-Based Systems 70, 103-117, 2014 | 116 | 2014 |
| Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data W Wang, X Guan, X Zhang, L Yang computers & security 25 (7), 539-550, 2006 | 115 | 2006 |
| SCTSC: A semicentralized traffic signal control mode with attribute-based blockchain in iovs L Cheng, J Liu, G Xu, Z Zhang, H Wang, HN Dai, Y Wu, W Wang IEEE Transactions on Computational Social Systems 6 (6), 1373-1385, 2019 | 105 | 2019 |
| Modeling program behaviors by hidden Markov models for intrusion detection W Wang, XH Guan, XL Zhang Proceedings of 2004 International Conference on Machine Learning and …, 2004 | 92 | 2004 |
Xiangliang ZhangLeonard C. Bettex Collegiate Professor, Computer Science and Engineering, University of Notre DameVerifisert e-postadresse på nd.edu