| * | 2009 |
| 62 | EE | Qingzhong Liu,
Andrew H. Sung,
Mengyu Qiao:
Improved detection and evaluation for JPEG steganalysis.
ACM Multimedia 2009: 873-876 |
| 61 | EE | Qingzhong Liu,
Andrew H. Sung,
Mengyu Qiao:
Novel stream mining for audio steganalysis.
ACM Multimedia 2009: 95-104 |
| 60 | | Qingzhong Liu,
Andrew H. Sung,
Bernardete Ribeiro,
Mengyu Qiao:
Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning.
BIOSIGNALS 2009: 396-401 |
| 59 | | Qingzhong Liu,
Andrew H. Sung,
Mengyu Qiao,
Bernardete Ribeiro:
Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis.
ICAART 2009: 226-231 |
| 58 | EE | Qingzhong Liu,
Andrew H. Sung,
Mengyu Qiao:
Spectrum Steganalysis of WAV Audio Streams.
MLDM 2009: 582-593 |
| 2008 |
| 57 | EE | Bernardete Ribeiro,
Armando Vieira,
João Duarte,
Catarina Silva,
João Carvalho das Neves,
Qingzhong Liu,
Andrew H. Sung:
Learning Manifolds for Bankruptcy Analysis.
ICONIP (1) 2008: 723-730 |
| 56 | EE | Qingzhong Liu,
Andrew H. Sung,
Mengyu Qiao:
Detecting information-hiding in WAV audios.
ICPR 2008: 1-4 |
| 55 | EE | Rita Ferreira,
Bernardete Ribeiro,
Catarina Silva,
Qingzhong Liu,
Andrew H. Sung:
Building resilient classifiers for LSB matching steganography.
IJCNN 2008: 1562-1567 |
| 54 | EE | Qingzhong Liu,
Andrew H. Sung,
Bernardete Ribeiro,
Rita Ferreira:
Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting.
IJCNN 2008: 3352-3357 |
| 53 | EE | Ram B. Basnet,
Srinivas Mukkamala,
Andrew H. Sung:
Detection of Phishing Attacks: A Machine Learning Approach.
Soft Computing Applications in Industry 2008: 373-383 |
| 52 | EE | Qingzhong Liu,
Andrew H. Sung,
Bernardete Ribeiro,
Mingzhen Wei,
Zhongxue Chen,
Jianyun Xu:
Image complexity and feature mining for steganalysis of least significant bit matching steganography.
Inf. Sci. 178(1): 21-36 (2008) |
| 51 | EE | Anthonius Sulaiman,
Srinivas Mukkamala,
Andrew H. Sung:
SQL infections through RFID.
Journal in Computer Virology 4(4): 347-356 (2008) |
| 50 | EE | Qingzhong Liu,
Andrew H. Sung,
Zhongxue Chen,
Jianyun Xu:
Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images.
Pattern Recognition 41(1): 56-66 (2008) |
| 2007 |
| 49 | | Mislav Grgic,
Andrew H. Sung,
Guoyin Wang:
International Conference on High Performance Computing, Networking and Communication Systems, HPCNCS-07, Orlando, Florida, USA, July 9-12 2007
ISRST 2007 |
| 48 | EE | Srinivas Mukkamala,
Krishna Yendrapalli,
Ram B. Basnet,
Andrew H. Sung:
Detecting Coordinated Distributed Multiple Attacks.
AINA Workshops (1) 2007: 557-562 |
| 47 | EE | Catarina Silva,
Bernardete Ribeiro,
Andrew H. Sung:
Boosting RVM Classifiers for Large Data Sets.
ICANNGA (2) 2007: 228-237 |
| 46 | EE | Rajani Goteti,
A. Tamilarasan,
R. S. Balch,
Srinivas Mukkamala,
Andrew H. Sung:
Estimating Monthly Production of Oil Wells.
IFSA (2) 2007: 393-403 |
| 45 | | Ram B. Basnet,
Krishna Yendrapalli,
Tenzin,
Srinivas Mukkamala,
Andrew H. Sung:
Knowledge Based Discovery of Phishing Attacks.
IICAI 2007: 731-742 |
| 44 | EE | Qingzhong Liu,
Andrew H. Sung:
Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images.
IJCAI 2007: 2808-2813 |
| 43 | | Krishna Yendrapalli,
Ram B. Basnet,
Srinivas Mukkamala,
Andrew H. Sung:
Gene Selection for Tumor Classification Using Microarray Gene Expression Data.
World Congress on Engineering 2007: 290-295 |
| 42 | | Krishna Yendrapalli,
Srinivas Mukkamala,
Andrew H. Sung,
Bernardete Ribeiro:
Biased Support Vector Machines and Kernel Methods for Intrusion Detection.
World Congress on Engineering 2007: 321-325 |
| 41 | EE | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham:
Hybrid multi-agent framework for detection of stealthy probes.
Appl. Soft Comput. 7(3): 631-641 (2007) |
| 40 | EE | Mingzhen Wei,
Baojun Bai,
Andrew H. Sung,
Qingzhong Liu,
Jiachun Wang,
Martha E. Cather:
Predicting injection profiles using ANFIS.
Inf. Sci. 177(20): 4445-4461 (2007) |
| 2006 |
| 39 | EE | Patrick Defibaugh-Chavez,
Srinivas Mukkamala,
Andrew H. Sung:
Efficacy of Coordinated Distributed Multiple Attacks (A Proactive Approach to Cyber Defense).
AINA (2) 2006: 10-14 |
| 38 | EE | Srinivas Mukkamala,
Qingzhong Liu,
Rajeev Veeraghattam,
Andrew H. Sung:
Feature Selection and Ranking of Key Genes for Tumor Classification: Using Microarray Gene Expression Data.
ICAISC 2006: 951-961 |
| 37 | EE | Jianyun Xu,
Andrew H. Sung,
Qingzhong Liu:
Tree Based Behavior Monitoring for Adaptive Fraud Detection.
ICPR (1) 2006: 1208-1211 |
| 36 | EE | Qingzhong Liu,
Andrew H. Sung,
Jianyun Xu,
Bernardete Ribeiro:
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography.
ICPR (2) 2006: 267-270 |
| 35 | EE | Srinivas Mukkamala,
Dennis Xu,
Andrew H. Sung:
Intrusion Detection Based on Behavior Mining and Machine Learning Techniques.
IEA/AIE 2006: 619-628 |
| 34 | EE | Qingzhong Liu,
Andrew H. Sung:
Recursive Feature Addition for Gene Selection.
IJCNN 2006: 1360-1367 |
| 33 | EE | A. Tamilarasan,
Srinivas Mukkamala,
Andrew H. Sung,
Krishna Yendrapalli:
Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods.
IJCNN 2006: 4754-4761 |
| 32 | EE | Mingzhen Wei,
Andrew H. Sung,
Martha E. Cather:
Improving database quality through eliminating duplicate records.
Data Science Journal 5: 127-142 (2006) |
| 2005 |
| 31 | | Mingzhen Wei,
Andrew H. Sung,
Martha E. Cather:
A New Domain-Independent Field Matching Algorithm for Large Databases.
DMIN 2005: 126-131 |
| 30 | | Jianyun Xu,
Andrew H. Sung,
Qingzhong Liu,
Srinivas Mukkamala:
Fraud Detection System Based on Behavior Mining and Anomaly Detection.
IICAI 2005: 3487-3501 |
| 29 | EE | Anthonius Sulaiman,
K. Ramamoorthy,
Srinivas Mukkamala,
Andrew H. Sung:
Disassembled code analyzer for malware (DCAM).
IRI 2005: 398-403 |
| 28 | | Jianyun Xu,
Andrew H. Sung,
Qingzhong Liu:
Online Fraud Detection System Based on Non-Stationery Anomaly Detection.
Security and Management 2005: 364-370 |
| 27 | EE | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham:
Intrusion detection using an ensemble of intelligent paradigms.
J. Network and Computer Applications 28(2): 167-182 (2005) |
| 2004 |
| 26 | EE | Andrew H. Sung,
Jianyun Xu,
Patrick Chavez,
Srinivas Mukkamala:
Static Analyzer of Vicious Executables (SAVE).
ACSAC 2004: 326-334 |
| 25 | EE | Andrew H. Sung,
Srinivas Mukkamala:
The Feature Selection and Intrusion Detection Problems.
ASIAN 2004: 468-482 |
| 24 | | Jianyun Xu,
Andrew H. Sung,
Qingzhong Liu:
Detecting Hidden Information in the Wavelet Domain.
CISST 2004: 571-577 |
| 23 | EE | Jianyun Xu,
Andrew H. Sung,
Patrick Chavez,
Srinivas Mukkamala:
Polymorphic Malicious Executable Scanner by API Sequence Analysis.
HIS 2004: 378-383 |
| 22 | EE | Patrick Defibaugh-Chavez,
Srinivas Mukkamala,
Andrew H. Sung:
Website Visitor Classification Using Machine Learning.
HIS 2004: 384-389 |
| 21 | | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham,
Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines.
ICEIS (3) 2004: 26-33 |
| 20 | EE | Srinivas Mukkamala,
Andrew H. Sung:
Computational Intelligent Techniques for Detecting Denial of Service Attacks.
IEA/AIE 2004: 616-624 |
| 19 | EE | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham:
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach.
IEA/AIE 2004: 633-642 |
| 18 | | Mingzhen Wei,
Andrew H. Sung,
Martha E. Cather:
Detecting Spatial Outliers Using Bipartite Outlier Detection Methods.
IKE 2004: 236-244 |
| 17 | EE | Andrew H. Sung,
Gopalakrishna Reddy Tadiparthi,
Srinivas Mukkamala:
Defeating the Current Steganalysis Techniques (Robust Steganography).
ITCC (1) 2004: 440-444 |
| 16 | EE | Jianyun Xu,
Andrew H. Sung,
Peipei Shi,
Qingzhong Liu:
JPEG Compression Immune Steganography Using Wavelet Transform.
ITCC (2) 2004: 704-708 |
| 15 | EE | Srinivas Mukkamala,
Andrew H. Sung:
A framework for countering denial of service attacks.
SMC (4) 2004: 3273-3278 |
| 14 | EE | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham,
Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines
CoRR cs.AI/0405016: (2004) |
| 2003 |
| 13 | | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham:
Distributed Multi-Intelligent Agent Framework for Detection of Stealthy Probes.
HIS 2003: 779-788 |
| 12 | EE | Srinivas Mukkamala,
Andrew H. Sung:
A Comparative Study of Techniques for Intrusion Detection.
ICTAI 2003: 570- |
| 11 | | Srinivas Mukkamala,
Andrew H. Sung:
A Distributed Agent Based IDS for Stealthy Probe Detection.
IICAI 2003: 413-422 |
| 10 | EE | Andrew H. Sung,
Srinivas Mukkamala:
Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks.
SAINT 2003: 209-217 |
| 9 | EE | Srinivas Mukkamala,
Andrew H. Sung:
Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques.
IJDE 1(4): (2003) |
| 2002 |
| 8 | | Srinivas Mukkamala,
Andrew H. Sung:
Performance Based Feature Identification for Intrusion Detection Using Support Vector Machines.
HIS 2002: 351-364 |
| 7 | | Andrew H. Sung:
Role of Soft Computing in Internet Security.
HIS 2002: 8 |
| 2001 |
| 6 | | Srinivas Mukkamala,
Guadalupe I. Janoski,
Andrew H. Sung:
Monitoring System Security Using Neural Networks and Support Vector Machines.
HIS 2001: 121-137 |
| 5 | EE | Guadalupe I. Janoski,
Andrew H. Sung:
Alternate Methods in Reservoir Simulation.
International Conference on Computational Science (2) 2001: 253-262 |
| 2000 |
| 4 | EE | Hujun Li,
Fangsheng Li,
Andrew H. Sung,
William W. Weiss:
A Fuzzy Inference Algorithm for Lithology Analysis in Formation Evaluation.
IEA/AIE 2000: 290-295 |
| 3 | EE | Guadalupe I. Janoski,
Fansheng Li,
Mateusz Pietrzyk,
Andrew H. Sung,
Shih-Hsien Chang,
Reid B. Grigg:
Advances Reservoir Simulation Using Soft Computing.
IEA/AIE 2000: 623-628 |
| 1994 |
| 2 | | Willie Chang,
Hamdy S. Soliman,
Andrew H. Sung:
Fingerprint Image Compression by a Natural Clustering Neural Network.
ICIP (2) 1994: 341-345 |
| 1 | EE | Willie Chang,
Hamdy S. Soliman,
Andrew H. Sung:
Fingerprint Image Compression by a Clustering Learning Network.
IEA/AIE 1994: 51-56 |