2008 |
35 | EE | Jean-Louis Lassez,
Ryan A. Rossi,
Stephen J. Sheel,
Srinivas Mukkamala:
Signature based intrusion detection using latent semantic analysis.
IJCNN 2008: 1068-1074 |
34 | 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 |
33 | EE | Anthonius Sulaiman,
Srinivas Mukkamala,
Andrew H. Sung:
SQL infections through RFID.
Journal in Computer Virology 4(4): 347-356 (2008) |
2007 |
32 | EE | Srinivas Mukkamala,
Krishna Yendrapalli,
Ram B. Basnet,
Andrew H. Sung:
Detecting Coordinated Distributed Multiple Attacks.
AINA Workshops (1) 2007: 557-562 |
31 | EE | Rajani Goteti,
A. Tamilarasan,
R. S. Balch,
Srinivas Mukkamala,
Andrew H. Sung:
Estimating Monthly Production of Oil Wells.
IFSA (2) 2007: 393-403 |
30 | | Ram B. Basnet,
Krishna Yendrapalli,
Tenzin,
Srinivas Mukkamala,
Andrew H. Sung:
Knowledge Based Discovery of Phishing Attacks.
IICAI 2007: 731-742 |
29 | | 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 |
28 | | 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 |
27 | 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) |
2006 |
26 | 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 |
25 | 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 |
24 | EE | Jean-Louis Lassez,
Tayfun Karadeniz,
Srinivas Mukkamala:
Zoomed Clusters.
ICONIP (2) 2006: 824-830 |
23 | EE | Srinivas Mukkamala,
Dennis Xu,
Andrew H. Sung:
Intrusion Detection Based on Behavior Mining and Machine Learning Techniques.
IEA/AIE 2006: 619-628 |
22 | 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 |
2005 |
21 | | Jianyun Xu,
Andrew H. Sung,
Qingzhong Liu,
Srinivas Mukkamala:
Fraud Detection System Based on Behavior Mining and Anomaly Detection.
IICAI 2005: 3487-3501 |
20 | EE | Anthonius Sulaiman,
K. Ramamoorthy,
Srinivas Mukkamala,
Andrew H. Sung:
Disassembled code analyzer for malware (DCAM).
IRI 2005: 398-403 |
19 | 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 |
18 | EE | Andrew H. Sung,
Jianyun Xu,
Patrick Chavez,
Srinivas Mukkamala:
Static Analyzer of Vicious Executables (SAVE).
ACSAC 2004: 326-334 |
17 | EE | Andrew H. Sung,
Srinivas Mukkamala:
The Feature Selection and Intrusion Detection Problems.
ASIAN 2004: 468-482 |
16 | EE | Jianyun Xu,
Andrew H. Sung,
Patrick Chavez,
Srinivas Mukkamala:
Polymorphic Malicious Executable Scanner by API Sequence Analysis.
HIS 2004: 378-383 |
15 | EE | Patrick Defibaugh-Chavez,
Srinivas Mukkamala,
Andrew H. Sung:
Website Visitor Classification Using Machine Learning.
HIS 2004: 384-389 |
14 | | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham,
Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines.
ICEIS (3) 2004: 26-33 |
13 | EE | Marcin Paprzycki,
Ajith Abraham,
Ruiyuan Guo,
Srinivas Mukkamala:
Data Mining Approach for Analyzing Call Center Performance.
IEA/AIE 2004: 1092-1101 |
12 | EE | Srinivas Mukkamala,
Andrew H. Sung:
Computational Intelligent Techniques for Detecting Denial of Service Attacks.
IEA/AIE 2004: 616-624 |
11 | EE | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham:
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach.
IEA/AIE 2004: 633-642 |
10 | EE | Andrew H. Sung,
Gopalakrishna Reddy Tadiparthi,
Srinivas Mukkamala:
Defeating the Current Steganalysis Techniques (Robust Steganography).
ITCC (1) 2004: 440-444 |
9 | EE | Srinivas Mukkamala,
Andrew H. Sung:
A framework for countering denial of service attacks.
SMC (4) 2004: 3273-3278 |
8 | EE | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham,
Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines
CoRR cs.AI/0405016: (2004) |
2003 |
7 | | Srinivas Mukkamala,
Andrew H. Sung,
Ajith Abraham:
Distributed Multi-Intelligent Agent Framework for Detection of Stealthy Probes.
HIS 2003: 779-788 |
6 | EE | Srinivas Mukkamala,
Andrew H. Sung:
A Comparative Study of Techniques for Intrusion Detection.
ICTAI 2003: 570- |
5 | | Srinivas Mukkamala,
Andrew H. Sung:
A Distributed Agent Based IDS for Stealthy Probe Detection.
IICAI 2003: 413-422 |
4 | EE | Andrew H. Sung,
Srinivas Mukkamala:
Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks.
SAINT 2003: 209-217 |
3 | EE | Srinivas Mukkamala,
Andrew H. Sung:
Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques.
IJDE 1(4): (2003) |
2002 |
2 | | Srinivas Mukkamala,
Andrew H. Sung:
Performance Based Feature Identification for Intrusion Detection Using Support Vector Machines.
HIS 2002: 351-364 |
2001 |
1 | | Srinivas Mukkamala,
Guadalupe I. Janoski,
Andrew H. Sung:
Monitoring System Security Using Neural Networks and Support Vector Machines.
HIS 2001: 121-137 |