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 | 1174 | 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 | 645 | 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 | 548 | 2005 |
Static analyzer of vicious executables (save) AH Sung, J Xu, P Chavez, S Mukkamala 20th Annual Computer Security Applications Conference, 326-334, 2004 | 333 | 2004 |
Detection of phishing attacks: A machine learning approach R Basnet, S Mukkamala, AH Sung Soft computing applications in industry, 373-383, 2008 | 310 | 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 | 277 | 2003 |
Feature selection for intrusion detection with neural networks and support vector machines S Mukkamala, AH Sung Transportation research record 1822 (1), 33-39, 2003 | 195 | 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 | 180 | 2004 |
Image visualization based malware detection K Kancherla, S Mukkamala 2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS …, 2013 | 179 | 2013 |
Malware detection using assembly and API call sequences MK Shankarapani, S Ramamoorthy, RS Movva, S Mukkamala Journal in computer virology 7, 107-119, 2011 | 171 | 2011 |
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 | 156 | 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 | 145 | 2004 |
Intrusion detection using ensemble of soft computing paradigms S Mukkamala, AH Sung, A Abraham Intelligent systems design and applications, 239-248, 2003 | 140 | 2003 |
Intrusion detection systems using adaptive regression spines S Mukkamala, AH Sung, A Abraham, V Ramos Enterprise information systems VI, 211-218, 2006 | 121 | 2006 |
Quantitative security risk assessment of android permissions and applications Y Wang, J Zheng, C Sun, S Mukkamala Data and Applications Security and Privacy XXVII: 27th Annual IFIP WG 11.3 …, 2013 | 120 | 2013 |
The feature selection and intrusion detection problems AH Sung, S Mukkamala Annual Asian Computing Science Conference, 468-482, 2004 | 119 | 2004 |
A comparative study of techniques for intrusion detection S Mukkamala, AH Sung Proceedings. 15th IEEE International Conference on Tools with Artificial …, 2003 | 105 | 2003 |
Computationally intelligent agents for distributed intrusion detection system and method of practicing same AH Sung, S Mukkamala, JL Lassez US Patent 7,941,855, 2011 | 102 | 2011 |
Feature ranking and selection for intrusion detection systems using support vector machines S Mukkamala, AH Sung Proceedings of the second digital forensic research workshop, 1-10, 2002 | 94 | 2002 |
Cyber security challenges: Designing efficient intrusion detection systems and antivirus tools S Mukkamala, A Sung, A Abraham Vemuri, V. Rao, Enhancing Computer Security with Smart Technology.(Auerbach …, 2005 | 87 | 2005 |