CFP

SPECIAL ISSUE OF JOURNAL OF DATABASE MANAGEMENT ON DATABASE TECHNOLOGY FOR ENHANCING NATIONAL SECURITY

The US focus on homeland security since the 9-11 terrorist attacks has increased the public�s awareness of national security. National security has not only become a top priority in law-enforcement and homeland defense agencies, but also attracted a lot of interest from researchers and practitioners in various information technology disciplines. Database technology is one of the key information technologies that ha direct bearing on national security endeavors.

Database technology consists of software and methodologies for modeling and storing large volumes of data of arbitrary types and structures and responding to search and update queries against the data. In order to help detect potential threats to national security and enable prompt action, many crucial database technology components are required. These need to address issues such as: 1) how to identify the right data sources, extract key information, and integrate heterogonous data? 2) how to associate and aggregate bits of information from multiple data sources to construct potential terrorist operation daisy-chains? 3) how to discover patterns indicative of terrorist activities, and track the emerging development of terrorist events? 4) how to make available the right information to the right analysts at the right time to support time-critical and informed decision-making? 5) how to automatically assure information quality, especially in the presence of incomplete or dirty data? and 6) how to manage data security to prevent potential unauthorized disclosure of information?

The objective of the special issue is to bring together 6-7 high-quality research and visionary papers on a broad spectrum of key subjects related to database technology for national security applications into a single compendium. Submissions describing research breakthroughs, definitive results of empirical studies, promising commercial products, and visions for near-term research and development are strongly encouraged. Topics of interest to this special issue include, but are not limited to, the following:

* Data mining in discovering patterns indicative of terrorists� activities * Text mining in detecting and tracking terrorists� events * Information chaining in correlating and aggregating information from multiple sources * Federated database * Fuzzy query * Imprecise database * Data quality and data cleansing * Heterogeneous database integration * Multimedia data storage, indexing and retrieval * QoS delivery * Intrusion detection * Biometric security * Deception detection * Terrorist network analysis * Semantic content management * Visualization in revealing patterns of terrorist activities * Collaborative intelligence * Agent-based intelligent monitoring * Ontology in information sharing * Workflow in supporting the detection and investigation of terrorist activities * Security management

Important Dates:
Deadline for manuscripts: August 1, 2003
Preliminary notice to authors: November 1, 2003
Revision Due: January 10, 2004
Final Manuscript Due: March 10, 2004

Submission Instructions

Please see http://www.idea-group.com/jdm.html or contact Dr. Lina Zhou.

Guest Editor:
Dr. Lina Zhou
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250
U.S.A.
zhoul@umbc.edu

Dr. Won Kim
Cyber Database Solutions
won.kim@cyberdb.com
Dr. Kim will serve as an Advisor for this special issue.