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Research

Information on ongoing research projects and interests. For information about individual faculty members' research, please consult their webpages.

Security in Distributed and Grid Environments

Intrusion Detection using Learning Machines, Feature Ranking and Selection for IDS, and Information Hiding

Malware Analysis and Malicious Code Detection

Networks Security

Neural Net Application in Image Compression

Fiber Optics Routing

Automatic Data Distribution

CRUISE: Composing Role-based Unified Information Security Environment

SARTS: Security-Aware Real-Time Systems

Dynamic Load Balancing for I/O-Intensive Applications on Clusters

Secure Software Construction and Operating System Security

Analysis of Financial and Real-Time Market Environments

Complex System Analysis

Security in Distributed and Grid Environments:

    • Professors:

      • Lorie Liebrock
      • Xiao Qin

    • Students:

      • Tao Xie
      • Max Planck
      • Praveen Mandala
      • Balamurugan Sethu
      • Kalyan Bondili

Intrusion Detection using Learning Machines, Feature Ranking and Selection for IDS, and Information Hiding:

    • Professors:

      • Andrew Sung
      • Jean-Louis Lassez
    • Students:

      • Srinivas Mukkamala
      • Guadalupe Janoski
      • Dennis Xu

    • Description:

      • Intrusion detection, stegnography, and steganalysis.

    • Papers:

      • S. Mukkamala, A. H. Sung, A. Abraham (2004) Designing Intrusion Detection Systems: Architectures and Perspectives. Annual Review of Communications, Vol. 57, International Engineering Consortium. ISBN: 1-931695-28-8
      • S. Mukkamala, A. H. Sung, A. Abraham, V. Ramos (2004) Intrusion Detection Systems using Adaptive Regression Splines. Kluwer Academic Press.
      • S. Mukkamala, A. H. Sung (2004) Knowledge Discovery in Network Audit Trails. Lecture Notes in Computer Science, Springer (In Press)
      • A. S. Vieira, B. Ribeiro, S. Mukkamala, J. C. Neves, A. Sung. (2004) On the Performance of Learning Machines for Bankruptcy Detection (Under Review)
      • S. Mukkamala, A. H. Sung (2004) An Ensemble of Network Forensic Models and Significant Feature Analysis, Elsevier (Under Review)
      • S. Mukkamala, A. H. Sung, A. Abraham. (2004) Hybrid Multi Agent Framework for Detection of Stealthy Probes. Applied Soft Computing Journal, Elsevier (In Press)
      • S. Mukkamala, A. H. Sung, A. Abraham. (2004) Intrusion Detection Using an Ensemble of Intelligent Paradigms. Journal of Network and Computer Applications, Elsevier (In Press)
      • P. Chavez, S. Mukkamala, A. H. Sung (2004) Distributed Multi-Intelligent Agent Frame Work for Detection of Stealthy Probes. Proceedings of International Conference on Hybrid Intelligent Systems, published as published as Design and Application of Hybrid Intelligent Systems and Applications, Frontiers in Artificial Intelligence and Applications Series.
      • A. S. Vieira, B. Ribeiro, S. Mukkamala, J. C. Neves, A. Sung. (2004) On the Performance of Learning Machines for Bankruptcy Detection. Proceedings of IEEE International Conference on Computational Cybernetics (ICCC 2004), IEEE Computer Society Press.
      • S. Mukkamala, A.H. Sung. (2004) A Framework for Countering Denial of Service Attacks (Knowledge Discovery Approach). Proceedings of IEEE International Conference Systems, Man, and Cybernetics, IEEE Computer Society Press, pp.
      • T. Xie, A. H. Sung, S. Mukkamala, Q. Liu (2004) Reactive Tamper Detection for Image Authentication. Proceedings of the IEEE Fourth International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications, Advances in Soft Computing, ISBN 96-37154-30-2, pp. 795-801,
      • M. Paprzycki, A. Abraham, R. Guo, S. Mukkamala. (2004) Data Mining Approach for Analyzing Call Center Performance. Proceedings of Innovations in Applied Artificial Intelligence, 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE). Lecture Notes in Computer Science 3029 Springer 2004, ISBN 3-540-22007-0, pp. 1092-1101. (nominated as best paper).
      • S. Mukkamala, A. H. Sung, A. Abraham. (2004) Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach. Proceedings of Innovations in Applied Artificial Intelligence, 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE). Lecture Notes in Computer Science 3029 Springer 2004, ISBN 3-540-22007-0, pp. 633-642.
      • S. Mukkamala, A.H. Sung. (2004) Computational Intelligent Techniques for Detecting Denial of Service Attacks. Proceedings of Innovations in Applied Artificial Intelligence, 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE). Lecture Notes in Computer Science 3029 Springer 2004, ISBN 3-540-22007-0, pp. 616-634.
      • S. Mukkamala, A. H. Sung, A. Abraham, V. Ramos (2004) Intrusion Detection Systems using Adaptive Regression Splines. Proceedings of 6th International Conference on Enterprise Information Systems (ICEIS 2004), INSTICC - Institute for Systems and Technologies of Information, Control and Communication, ISBN 972-8865-00-7, Vol. 3, pp. 26-33.
      • A. H. Sung, G. K. Tadiparthi, S. Mukkamala. (2004) Defeating the Current Steganlytic Techniques (Robust Steganography). Proceedings of International Conference on Information Technology, IEEE Computer Society Press, pp. 440-444.
      • Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Steganalysis of SES, 7th International Conference on Information Security & Cryptology, Seoul, Korea, Dec. 2-3, 2004
      • Qingzhong Liu, Andrew H. Sung, Bernardete M. Ribeiro, Statistical Correlations and Machine Learning for Steganalysis, accepted by 7th International Conference on Artificial Neural Networks and Genetic Algorithms 2005, Coimbra, Portugal.
      • Jianyun Xu, Andrew H. Sung, Qingzhong Liu &Peipei Shi. Proceeding of The 2004 International Conference on Imaging Science, Systems, and Technology, Las Vegas, Nevada, June 21-24, 2004.
      • Jianyun Xu, Andrew H. Sung, Qingzhong Liu & Peipei Shi. JPEG Compression Immune Steganography Using Wavelet Transform. Proceeding of the forthcoming International Conference on Information Technology (ITCC 2004) Conference on Information Assurance and Security.
      • S. Mukkamala, A. H. Sung, A. Abraham. (2003) Distributed Multi-Intelligent Agent Frame Work for Detection of Stealthy Probes. Proceedings of International Conference on Hybrid Intelligent Systems, published as published as Design and Application of Hybrid Intelligent Systems and Applications, Frontiers in Artificial Intelligence and Applications Series, Vol. 104, IOS Press, pp. 779-788.
      • S. Mukkamala, A. H. Sung. (2003) A Distributed Agent Based IDS for Stealthy Probe Detection. Proceedings of First Indian International Conference on Artificial Intelligence (IICAI 2003), pp. 413-422.
      • S. Mukkamala, A.H. Sung. (2003) A Comparative Study of Techniques for Intrusion Detection. Proceedings of 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), IEEE Computer Society Press, pp.570-579.
      • A.H. Sung, S. Mukkamala. (2003) Information Assurance. Proceedings of IEEE International Conference on Information Reuse and Integration, IEEE Computer Society Press, Tutorials.
      • S. Mukkamala, A.H. Sung. (2003) Artificial Intelligent Techniques for Intrusion Detection. Proceedings of IEEE International Conference Systems, Man, and Cybernetics, IEEE Computer Society Press, pp.1231-1236.
      • A.H. Sung, S. Mukkamala. (2003) Need for Information Assurance and Security. Proceedings of IEEE International Conference Systems, Man, and Cybernetics, IEEE Computer Society Press, Tutorials.
      • A.H. Sung, S. Mukkamala. (2003) Information Assurance. Proceedings of the Third International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications, Advances in Soft Computing, Springer Verlag, Germany, Tutorials.
      • S. Mukkamala. (2003) Information Assurance and Security Awareness. City of Socorro Councilors Meeting.
      • S Mukkamala, A H. Sung. (2003) Soft Computing Techniques for Intrusion Detection. Proceedings of Workshop on Statistical and Machine Learning Techniques in Computer Intrusion Detection, Johns Hopkins University. ONR and AFSOR Sponsored Workshop on Intrusion Detection. [http://www.galaxy.gmu.edu/intrusiondetection/2003schedule]
      • G. K. Tadiparthi, S. Mukkamala, A. H. Sung. (2003) Robust Steganography Using Animations. Proceedings of the 7th IASTED International Conference on Internet and Multimedia Systems and Applications, pp. 467-472.
      • J. Xu, A. H. Sung, P. Shi, Q. Liu. (2003) Text Steganography Using Wavelet Transform. Proceedings of the 7th IASTED International Conference on Internet and Multimedia Systems and Applications, August 13-15, pp. 473-478.
      • S. Mukkamala, A. H. Sung, A. Abraham. (2003) Intrusion Detection Using Ensemble of Soft Computing Paradigms. Proceedings of the Third International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications, Advances in Soft Computing, Springer Verlag, Germany, pp. 239-248.
      • G. K. Tadiparthi, S. Mukkamala, A. H. Sung. (2003) A Steganography Database. Proceedings of Digital Forensics Research Workshop, Cleveland.
      • S. Mukkamala, A. H. Sung. (2003) Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques. In International Journal on Digital Evidence, IJDE Volume 1, Issue 4.
      • S. Mukkamala, A.H. Sung. (2003) Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines. To appear in Journal of the Transportation Research Board (of the National Academies).
      • S. Mukkamala, A.H. Sung. (2003) Detecting Denial of Service Attacks Using Support Vector Machines. Proceedings of IEEE International Conference on Fuzzy Systems, IEEE Computer Society Press, pp.1231-1236.
      • A H. Sung, S. Mukkamala. (2003) Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. In Proceedings of the 2003 International Symposium on Applications and the Internet Technology, IEEE Computer Society Press, pp.209-216.
      • S Mukkamala, A H. Sung. (2003) Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines. Proceedings of the 82nd Annual Meeting of the Transportation Research Board, National Academics.
      • S. Mukkamala. (2002) Computer Security. IEEE Computer Society ezine Looking. Forward.
      • S. Mukkamala. (2002) Mining Key Features from Network Audit Trails for Intrusion Detection Systems Using Machine Learning Techniques. Criminal Intelligence Digest, Central Bureau of Investigation.
      • S. Mukkamala, A H. Sung. (2002) Performance Based Feature Identification for Intrusion Detection Using Support Vector Machines. Proceedings of Second International Conference on Hybrid Intelligent Systems, published as Soft Computing Systems, Design, Management, and Applications, Frontiers in Artificial Intelligence and Applications Series, Vol. 87, IOS Press, pp.351-361.
      • S Mukkamala, A H. Sung, S. Veeramachaneni. (2002) Learning Machines for Intrusion Detection. Proceedings of ANNIE: Artificial Neural Networks in Engineering, published as Intelligent Engineering Systems through Artificial Neural Networks, Vol. 12 (C. H. Dagli, et al. Editors), ASME Press, pp.465-470.
      • S Mukkamala, A H. Sung. (2002) Identifying Key Features for Intrusion Detection Using Neural Networks. Proceedings of 15th International Conference on Computer Communications, pp. 1132-1138.
      • Srinivas Mukkamala, Andrew H. Sung. (2002) Audit Data Reduction Using Neural Networks and Support Vector Machines. Proceedings of Digital Forensics Research Workshop, August 7-9, Syracuse University, Center for Systems Assurance.
      • S Mukkamala, A H. Sung. (2002) Learning machines for Intrusion Detection: Support Vector Machines and Neural Networks. Proceedings of International Conference on Security and Management, pp.525-531.
      • S Mukkamala, A H. Sung. (2002) Feature ranking and Selection for Intrusion detection Systems. Proceedings of International Conference on Information and Knowledge Engineering, pp.503-509.
      • S Mukkamala, A H. Sung. (2002) Comparison of Neural Networks and Support Vector Machines in Intrusion Detection. Proceedings of Workshop on Statistical and Machine Learning Techniques in Computer Intrusion Detection, Johns Hopkins University. [http://www.mts.jhu.edu/~cidwkshop/abstracts.html]
      • S. Mukkamala, G. Janoski, A H. Sung. (2002) Intrusion Detection Using Neural Networks and Support Vector Machines. Proceedings of IEEE International Joint Conference on Neural Networks, IEEE Computer Society Press, pp.1702-1707.
      • Srinivas Mukkamala, Guadalupe Janoski, Andrew H. Sung. (2002) Intrusion Detection Using Support Vector Machines. Proceedings of Advanced Simulation Technologies Conference, pp.178-183.
      • G. Janoski, S. Mukkamala, A.H. Sung. (2002) A Comparison of Soft Computing Methods for Reservoir Simulation, Soft Computing and Industry Ð Recent Applications, Springer Verlag, ISBN 1-85233-539-4, pp.821-832.
      • S Mukkamala, G Janowski, A H. Sung. (2001) Intrusion Detection Using Neural Networks and Support Vector Machines. Proceedings of Hybrid Information Systems Advances in Soft Computing, Physica Verlag, Springer Verlag, ISBN 3790814806, pp.121-138.
      • S Mukkamala, G Janowski, A H. Sung. (2001) Monitoring Information System Security. Proceedings of the 11th Annual Workshop on Information Technologies & Systems, pp.139-144.
      • G. Janoski, N. Benslimame, S. Mukkamala, and A. Sung. (2001) Using Neural Networks for System Security Monitoring. Proceedings of International Conference Intelligent Systems and Control, pp. 360-365.
      • G. Janoski, S. Mukkamala, A.H. Sung. (2001) A Comparison of Soft Computing Methods for Reservoir Simulation, World Conference on Soft Computing in Industrial Applications (WSC6), (selected as a best paper )

    • Demonstrations:

      • The steganography section is temporarily unavailable
        for updates.

Malware Analysis and Malicious Code Detection:

    • Professors:

      • Andrew Sung

    • Students:

      • Srinivas Mukkamala
      • Patrick Chavez
      • Dennis Xu
      • Karthikeyan Ramamoorthy
      • Anthonius Sulaiman
    • Publications:

      • A.H. Sung, J. Xu, P. Chavez, S. Mukkamala (2004) Static Analyzer for Vicious Executables (SAVE). Proceedings of 20th Annual Computer Security Applications Conference (ACSAC). IEEE Computer Society Press. pp.
      • A.H. Sung, K. Ramamoorthy, S. Mukkamala, T. Sulaiman, T. (2004) Static Analyzer for Vicious Executables (SAVE).
      • A.H. Sung, J. Xu, K. Ramamoorthy, P. Chavez, S. Mukkamala, T. Sulaiman, T. Xie (2004) Static Analyzer for Vicious Executables (SAVE). Presented in Work-in-progress Section of IEEE Symposium on Security and Privacy.
      • Jianyun Xu, Andrew H. Sung, P. Chavez & S. Mukkamala. Polymorphic Malicious Executable Scanner by API Sequence Analysis. 4th International Conference on Hybrid Intelligent Systems. Dec 6-8, Kitakyushu, Japan.

Networks Security:

    • Professors:

      • Hamdy Soliman

    • Students:
      • Mohamed Omari (Ph.D.)

    • Students:
      • H. S. Soliman and M. Omari. "New Design Strategy of Dynamic Security Implementation." IEEE Workshop on Adaptive Wireless Networks (Globecom 2004), Dallas, TX, Dec 3, 2004.
      • H. S. Soliman and M. Omari. "Wireless Authentication and Security Based on a Dynamic Encryption System." The 5th World Wireless Congress, 25-28 May 2004, San Francisco, California.
      • H. S. Soliman and M. Omari. "An Efficient Application of A Dynamic Crypto System in Mobile Wireless Security." IEEE Wireless Communications and Networking Conference, Atlanta, Georgia, 21-25 March 2004.
      • H. S. Soliman and M. Omari. "Secure Authentication and Communication of Ad hoc Networks." Communication Networks and Distributed Systems Modeling and Simulation Conference, San Diego, California, 18-22 January 2004.
      • H. S. Soliman and M. Omari. "Defending against Denial of Service Attacks: An application of Synchronous Encryption System." The IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2003, November 17th 2003, Scottsdale, Arizona, USA.
      • H. S. Soliman and M. Omari. "Satellite Image Compression Using A Universal Codebook: Applications of Direct Classification Technique." Proceedings of the 7th World Multiconference on Systematics, Cybernatics and Informatics, July 27th 2003, Orlando, Florida, USA.
      • H. S. Soliman and M. Omari. "Encryption Using Dynamic Key Management."Proceedings of the 7th World Multiconference on Systematics, Cybernatics and Informatics, pp 66-71, July 27th 2003, Orlando, Florida, USA.
      • H. S. Soliman and M. Omari. "Image Compression using Neural Nets: Hybrid ART/Kohonen Neural Model for Document Image Compression." ANNIE 2002, University of Missouri-Rolla, MO, November 2002.
      • H. S. Soliman and M. Omari. "Image Compression using Neural Nets: "Universal Codebook versus Local Codebook: Applications of Image Compression Using AVQ Theory." ANNIE 2002, University of Missouri-Rolla, MO, November 2002.

Neural Net Application in Image Compression:

    • Professors:

      • Hamdy Soliman

    • Students:

      • Mohamed Omari (Ph.D.)

    • Patents:

      • "Neural Network Model For Compressing/ Decompressing Image/Acoustic Data Files", Filed in December 5, 2001. Patent number: 6608924, Issue date: Aug 19, 2003.

    • Publications:

      • H. S. Soliman and Mohamed Omari. "A Neural Networks Approach to ImageData Compression" Applied Soft Computing Journal, (In Press).
      • Willie Chang and H. S. Soliman. "Image Coding By ANeural Net Classification Process", Applies Artificial Intelligence (AAI), Vol. 11, No. 1, pp:33-58, 1997.
      • Willie Chang and H. S. Soliman. "A Neural Synaptic Comression Codec for Efficient Image Transmission", International Journal of Wireless Personal Communications, Vol. 3, No. 3, pp: 199-214, 1996.
      • H. S. Soliman and M. Omari. "Toward Lossless Image Image Compression", Proceedings of the 8th International Conference on Intelligent Systems Sponsored by ISCA, Denver, Colorado, June 99, pp. 61-64.
      • H. S. Soliman and M. Omari. "Colored Image Compression Using Neural Networks ", 13th International Conference on Parallel and Distributed Systems, PDCS 2000, Las Vegas, Nevada. pp. 229-231.
      • H. S. Soliman and M. Omari . "Neural Net Simulation: SFSN Model For Image Compression", the SCS, in coop. with IEEE &ACM, 34th Annual Simulation Symposium, Seattle, Washington, April, 2001. pp 325-332.
      • H. S. Soliman and M. Omari "Hybrid ART/Kohonen Neural Model For Document Image Compression", the Intelligent Engineering System Through Artificial Neural Networks, Vol 12, Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2002), St. Louis, Missouri, ASME Press Series, ISBN: 0-7918-0191-8 pp: 613-618.
      • H. S. Soliman and M. Omari "Universal Codebook Versus Local Codebook: Applications of Image Compression using AVQ Theory" the intelligent Engineering System Through Artificial Neural Networks,Vol 12, Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2002), St. Louis, Missouri, ASME Press Series, ISBN: 0-7918-0191-8 pp: 619-624.
      • H. S. Soliman and M. Omari. "Satellite Image Compression Using A Universal Codebook: Applications of Direct Classification Technique." Proceedings of the 7th World Multiconference on Systematics, Cybernatics and Informatics, pp 147-152, July 27-30, 2003, Orlando, Florida, USA.

Fiber Optics Routing:

    • Professors:

      • Hamdy Soliman

    • Students:

      • Chad Peyton

    • Publications:

      • H. S. Soliman and Chad Peyton. " An Efficient Shortest Path Algorithm in Networks With Turn Delays ", the 13th International Conference on Parallel and Distributed Systems, PDCS 2000, Las Vegas, Nevada. pp:273-278.
      • H. S. Soliman and Chad Peyton. " Modeling Technological Limitations in All- Optical Networks", Proceedings of the ISCA16th the International Conference on Computers and Their Applications Seattle, Washington, USA, March, 2001. pp: 280-283.
      • H. S. Soliman and Chad Peyton. "A Link Labeling Algorithm for the Shortest Path based upon Edge and Turn Constraints", in the Proceedings of the ISCA 17th International Conference on Computers and Their Applications (CATA-2002) April 4-6, 2002, San Francisco, California. pp: 82-85.
      • H. S. Soliman and Chad Peyton. " An Efficient Routing Algorithm for All-Optical Networks With Turn Constrains", Proceedings of the 10thIEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2002, October 2002, Fort Worth, Taxes, pp: 161-166.
      • H. S. Soliman and Chad Peyton. "Routing in Congested All-Optical Networks", the Proceedings of the Modeling and Simulation of Optical Networks and Switches Symposium In conjunction with the 6th World Multi Conference Systemics , Cybernetics and Informatics, SCI 2002, July 2002, Orlando, Florida.
      • H. S. Soliman and Chad Peyton. "Dynamic Routing in Congested All- Optical Networks", the Proceedings of the Modeling and Simulation of Optical Networks and Switches Symposium In conjunction with the 6th World Multi Conference Systemics , Cybernetics and Informatics, SCI 2002, July 2002, Orlando, Florida.

Automatic Data Distribution

CRUISE: Composing Role-based Unified Information Security Environment

    • Professors:

      • Dongwan Shin

    • Students:

      • Sandeep Masala (M.S.)

    • Publications:

      • Dongwan Shin and Gail-Joon Ahn. "Role-based Privilege and Trust Management," In Computer Science, Systems & Engineering Journal, CRL Publishing, July 2005. In press
      • Gail-Joon Ahn, Dongwan Shin, and Prasad Shenoy. "Information Assurance in Federated Identity Management: Experimentations and Issues," In Proceedings of 15th International Conference on Web Information Systems Engineering, Lecture Notes in Computer Science, Brisbane, Australia, November 22-24, 2004.
      • Dongwan Shin and Gail-Joon Ahn. "Role-based Trust Assignment in Trust Management Systems," In Proceedings of the 17th International Conference on Parallel and Distributed Computing Systems (PDCS 04)), San Francisco, USA, September 15-17, 2004.
      • Dongwan Shin, Gail-Joon Ahn, Sangrae Cho, and Seunghun Jin. "A Role-based Infrastructure Management System: Design and Implementation," In Concurrency and Computation: Practice and Experience, 16(11), John Wiley & Sons, August 2004
      • Gail-Joon Ahn, Dongwan Shin, and Longhua Zhang. "Role-based Privilege Management Using Attribute Certificates and Delegation," In Proceedings of International Conference on Trust and Privacy in Digital Business, Lecture Notes in Computer Science, August 30-September 3, 2004.
      • Dongwan Shin, Gail-Joon Ahn, and Prasad Shenoy. "Ensuring Information Assurance in Federated Identity Management," In Proceedings of the 23rd IEEE International Performance Computing and Communications Conference (IPCCC 04), Phoenix, Arizona, April 14-17, 2004.
      • Dongwan Shin, Gail-Joon Ahn, and Sangrae Cho. "Role-based EAM Using X.509 Attribute Certificate," in Ehud Gudes and Sujeet Shenoi, Editors, Research Directions in Data and Application Security, Kluwer, 2003. (ISBN 1-4020-7541-3)
      • Gail-Joon Ahn, Longhua Zhang, Dongwan Shin, and Bill Chu. "Authorization Management for Role-based Collaboration," In Proceedings of IEEE International Conference on System, Man and Cybernetic (SMC2003), Washington, D.C., October 5-8, 2003.
      • Dongwan Shin, Gail-Joon Ahn, Sangrae Cho, and Seunghyn Jin. "On Modeling System-centric Information for Role Engineering," In Proceedings of 8th ACM Symposium on Access Control Models and Technologies (SACMAT 03), Villa Gallia, Como, Italy, June 2-3, 2003.
      • Dongwan Shin, Gail-Joon Ahn, Sangrae Cho, and Seunghun Jin. "A Role Administration System in Role-based Authorization Infrastructures - Design and Implementation," In Proceedings of 18th ACM Symposium on Applied Computing (SAC 03), Melbourne, Florida, USA, March 9-12, 2003. Best paper award in Special Track on Computer Security.

SARTS: Security-Aware Real-Time Systems

    • Professors:

      • Xiao Qin

    • Students:

      • Tao Xie (Ph.D.)
      • Mais Nijim (Ph.D.)
      • Mohammed I. Alghamdi (Ph.D.)
      • Adam Roth (M.S.)

    • Publications:

      • Tao Xie and Xiao Qin, "Enhancing Security of Real-Time Applications on Grids through Dynamic Scheduling," Proceedings of the 11th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'05), Cambridge, MA, June 19, 2005. (Accepted)
      • Tao Xie, Xiao Qin, and Andrew Sung, "SAREC: A Security-Aware Scheduling Strategy for Real-Time Applications on Clusters," Proceedings of the 34th International Conference on Parallel Processing (ICPP 2005), Norway, June 14-17, 2005.
      • Tao Xie, Andrew Sung, and Xiao Qin, "Dynamic Task Scheduling with Security Awareness in Real-Time Systems", Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS'05), the 4th Int'l Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, IEEE/ACM, April 4-8, 2005.
      • Tao Xie, Xiao Qin, and Andrew Sung, "Integrating Security Requirements into Scheduling for Real-Time Applications in Grid Computing," Proceedings of the International Conference on Grid Computing and Applications, June 20-23, 2005.

Dynamic Load Balancing for I/O-Intensive Applications on Clusters

    • Professors:

      • Xiao Qin

    • Students:

      • Tao Xie (Ph.D.)
      • Mais Nijim (Ph.D.)
      • Mohammed I. Alghamdi (Ph.D.)
      • Adam Roth (M.S.)

    • Publications:

      • Xiao Qin and Hong Jiang, "Improving Effective Bandwidth of Networks on Clusters using Load Balancing for Communication-Intensive Applications," Proceedings of the 24th IEEE International Performance, Computing, and Communications Conference (IPCCC 2005), pp.27-34, Phoenix, Arizona, April 7-9, 2005.
      • Xiao Qin, "Improving Network Performance through Task Duplication for Parallel Applications on Clusters," Proceedings of the 24th IEEE International Performance, Computing, and Communications Conference (IPCCC 2005), pp.35-42, Phoenix, Arizona, April 7-9, 2005.
      • Xiao Qin and Hong Jiang, "Improving the Performance of Communication-Intensive Parallel Applications Executing on Clusters," Poster Session, the 2004 IEEE International Conference on Cluster Computing (Cluster 2004), San Diego, California, September 20-23, 2004.
      • Xiao Qin, Hong Jiang, Yifeng Zhu, and David R. Swanson, "Dynamic Load Balancing for I/O-Intensive Tasks on Heterogeneous Clusters," in the Proceedings of the 10th International Conference on High Performance Computing (HiPC 2003), December 17-20, 2003, Hyderabad, India. (Accepted)
      • Xiao Qin, Hong Jiang, Yifeng Zhu, and David R. Swanson, "Towards Load Balancing Support for I/O-Intensive Parallel Jobs in a Cluster of Workstations," Proceedings of the 5th IEEE International Conference on Cluster Computing (Cluster 2003), Hong Kong, Dec. 1-4, 2003. (To appear)
      • Xiao Qin, Hong Jiang, Yifeng Zhu, and David R. Swanson, "Boosting Performance for I/O-Intensive Workload by Preemptive Job Migrations in a Cluster System," Proceedings of the 15th Symposium on Computer Architecture and High Performance Computing, Nov. 10-12, 2003, Brazil. IEEE Press.
      • Xiao Qin, Hong Jiang, Yifeng Zhu, and David R. Swanson, "A Dynamic Load Balancing Scheme for I/O-Intensive Applications in Distributed Systems," in the Proceedings of the 32nd International Conference on Parallel Processing Workshops (ICPP 2003 Workshops), Taiwan, October 6-9, 2003.Ê(A Longer version was available as aÊTechnical Report TR02-10-02, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Oct. 2002.)
      • Xiao Qin, Hong Jiang, Yifeng Zhu, and David R. Swanson, "Dynamic Load balancing for I/O- and Memory-Intensive workload in Clusters using a Feedback Control Mechanism," in the Proceedings of the 9th International Euro-Par Conference on Parallel Processing (Euro-Par 2003), Klagenfurt, Austria, August 26- 29, 2003.
      • X. Qin, H. Jiang, Y. Zhu, and D. Swanson, "Dynamic Load Balancing for I/O-Intensive Tasks on Heterogeneous Clusters," to appear in Journal of Cluster Computing, Special Issue on Parallel I/O in Computational Grids and Cluster Computing Systems, 2004(Accepted)
      • X. Qin, H. Jiang, Y. Zhu, and D. Swanson, "A Dynamic Load Balancing Scheme for I/O-Intensive Applications in Distributed Systems," Technical Report TR02-10-02, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Oct. 2002.
      • X. Qin, H. Jiang, Y. Zhu, and D. Swanson, "Boosting Performance for I/O-Intensive Workload by Preemptive Job Migrations in a Cluster System," Technical Report TR02-10-04, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Oct. 2002.

Secure Software Construction and Operating System Security:

    • Professors:

      • Horst Clausen
      • Allan M.Stavely
    • Students:

      • Chandra Rudraraju
      • Migahel Provincio

Analysis of Financial and Real-Time Market Environments:

    • Professors:

      • Peter Anselmo
      • Toshiyuki Sueyoshi
    • Students:

      • Gopalakrishna Reddy Tadiparthi
      • Karen Hispawan

Complex System Analysis:

    • Professors:

      • Richard Colbaugh
      • Kevin J. Wedeward
      • Steve Schaffer
      • Wm. D. Stone

 
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