Shu-Ching Chen

Research Profile

Dr. Shu-Ching Chen’s research interests include multimedia data mining & security and Disaster Information Management. His research in these areas has been supported by NSF, Department of Homeland Security (DHS), Army Research Office (ARO), and Naval Research Laboratory (NRL).

  • Multimedia-Based Threat management and Information Security.Emerging multimedia applications require large-scale integration, mining, and analysis of multimedia data that is generally distributed over multiple security domains.Most of these applications use sensitive information for identifying complex threat actions that cannot be detected via real-time monitoring as such actions can take place over relatively long timeframes. Real-time mining and correlating of multi-modality data from distributed sources and using security-oriented spatio-temporal knowledge can assist in identifying potential threats and ensuring security of large scale infrastructures (e.g., in command control environments). In a broader perspective, both long-ranged and real-time data analysis and mining techniques are needed to allow multi-level content analysis and representation of multimedia data at different levels of resolution to facilitate. In essence, data mining can allow information classification that has security and privacy implications.
  • Network Intrusion Detection. A distributed multiagent intrusion detection system (IDS) architecture is proposed, which attempts to provide an accurate and lightweight solution to network intrusion detection by tackling issues associated with the design of a distributed multiagent system, such as poor system scalability and excessive processing power and memory storage requirements. The intrusion detection task is achieved through the employment of the lightweight Adaptive Sub-Eigenspace Modeling (ASEM) based anomaly and misuse detection schemes.

Previous Accomplishments

  • Awards
    • 2011 ACM Distinguished Scientist Award.
    • SIRI Fellow, Society for Information Reuse and Integration in 2009.
    • Best Paper Award, IEEE International Symposium on Multimedia (ISM2006), 2006.
    • Most Active SMC Technical Committee Award, IEEE SMC Society, October 2006.
    • Outstanding Contribution Award, IEEE SMC Society, August 2005.
  • Collaboration
    • SPAWAR
    • University of Miami
    • University of Pittsburgh
    • Miami-Dade , Broward, Palm Beach, and Monroe County Offices of  Emergency Management (EOC)

Relevant Publications

  1. M.-L. Shyu, T. Quirino, Z. Xie, S.-C. Chen, and L. Chang, “Network Intrusion Detection through Adaptive Sub-Eigenspace Modeling in Multiagent Systems,” ACM Transactions on Autonomous and Adaptive Systems, 2007.
  2. J.B.D. Joshi, M.-L. Shyu, S.-C. Chen, W. Aref, and A. Ghafoor, “A Multimedia-Based Threat Management and Information Security Framework,” Edited by Elena Ferrari and Bhavani Thuraisingham, Web and Information Security, pp. 215-240, Idea Group Publishing, 2006, ISBN: 159140589-0.
  3. Z. Xie, T. Quirino, M.-L. Shyu, S.-C. Chen, and L. Chang, “A Distributed Agent-Based Approach To Intrusion Detection Using the Lightweight PCC Anomaly Detection Classifier,” IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC2006), 2006.
  4. M.-L. Shyu, K. Sarinnapakorn, I. Kuruppu-Appuhamilage, S.-C. Chen, L. Chang, and T. Goldring, “Handling Nominal Features in Anomaly Intrusion Detection Problems,” 15th International Workshop on Research Issues on Data Engineering, in conjunction with ICDE 2005, 2005.
  5. M.-L. Shyu, S.-C. Chen, K. Sarinnapakorn, and L. Chang, “A Novel Anomaly Detection Scheme Based on Principal Component Classifier,” IEEE Foundations and New Directions of Data Mining Workshop, in conjunction ICDM’03, 2003.



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