| Intrusion detection using neural networks and support vector machines S Mukkamala, G Janoski, A Sung Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 1207 | 2002 |
| Identifying important features for intrusion detection using support vector machines and neural networks AH Sung, S Mukkamala 2003 Symposium on Applications and the Internet, 2003. Proceedings., 209-216, 2003 | 652 | 2003 |
| Intrusion detection using an ensemble of intelligent paradigms S Mukkamala, AH Sung, A Abraham Journal of network and computer applications 28 (2), 167-182, 2005 | 560 | 2005 |
| Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity L Pawlikowska, D Hu, S Huntsman, A Sung, C Chu, J Chen, AH Joyner, ... Aging cell 8 (4), 460-472, 2009 | 416 | 2009 |
| Static analyzer of vicious executables (save) AH Sung, J Xu, P Chavez, S Mukkamala 20th Annual Computer Security Applications Conference, 326-334, 2004 | 337 | 2004 |
| Detection of phishing attacks: A machine learning approach R Basnet, S Mukkamala, AH Sung Soft computing applications in industry, 373-383, 2008 | 316 | 2008 |
| Identifying significant features for network forensic analysis using artificial intelligent techniques S Mukkamala, AH Sung International Journal of digital evidence 1 (4), 1-17, 2003 | 282 | 2003 |
| Ranking importance of input parameters of neural networks AH Sung Expert systems with Applications 15 (3-4), 405-411, 1998 | 253 | 1998 |
| Deepfake detection: A systematic literature review MS Rana, MN Nobi, B Murali, AH Sung IEEE access 10, 25494-25513, 2022 | 231 | 2022 |
| Feature selection for intrusion detection with neural networks and support vector machines S Mukkamala, AH Sung Transportation research record 1822 (1), 33-39, 2003 | 201 | 2003 |
| Polymorphic malicious executable scanner by API sequence analysis JY Xu, AH Sung, P Chavez, S Mukkamala Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 378-383, 2004 | 183 | 2004 |
| Temporal derivative-based spectrum and mel-cepstrum audio steganalysis Q Liu, AH Sung, M Qiao IEEE Transactions on Information Forensics and Security 4 (3), 359-368, 2009 | 166 | 2009 |
| Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images Q Liu, AH Sung, Z Chen, J Xu Pattern Recognition 41 (1), 56-66, 2008 | 160 | 2008 |
| Intrusion detection: support vector machines and neural networks S Mukkamala, G Janoski, A Sung proceedings of the IEEE International Joint Conference on Neural Networks …, 2002 | 158 | 2002 |
| Modeling intrusion detection systems using linear genetic programming approach S Mukkamala, AH Sung, A Abraham International Conference on Industrial, Engineering and Other Applications …, 2004 | 144 | 2004 |
| Intrusion detection using ensemble of soft computing paradigms S Mukkamala, AH Sung, A Abraham Intelligent systems design and applications, 239-248, 2003 | 142 | 2003 |
| Predicting injection profiles using ANFIS M Wei, B Bai, AH Sung, Q Liu, J Wang, ME Cather Information Sciences 177 (20), 4445-4461, 2007 | 138 | 2007 |
| Image complexity and feature mining for steganalysis of least significant bit matching steganography Q Liu, AH Sung, B Ribeiro, M Wei, Z Chen, J Xu Information Sciences 178 (1), 21-36, 2008 | 120 | 2008 |
| Intrusion detection systems using adaptive regression spines S Mukkamala, AH Sung, A Abraham, V Ramos Enterprise information systems VI, 211-218, 2006 | 120 | 2006 |
| The feature selection and intrusion detection problems AH Sung, S Mukkamala Annual Asian Computing Science Conference, 468-482, 2004 | 119 | 2004 |
Qingzhong LiuProfessor of Computer Science, Sam Houston State UniversityVerified email at shsu.edu