Intelligence And Security Informatics Research Articles

Collaboration Pattern and Topic Analysis on Intelligence and Security Informatics Research

In this article, researcher collaboration patterns and research topics on Intelligence and Security Informatics (ISI) are investigated using social network analysis approaches. The collaboration networks exhibit scale-free property and small-world effect. From these networks, the authors obtain the key researchers, institutions, and three important topics.

ISI-KDD

Intelligence and Security Informatics (ISI) is concerned with the study of the development and use of advanced information technologies and systems for national, international, and societal security-related applications. ISI is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies as well as local, state, and federal law enforcement and intelligence experts, and information technology industry consultants and practitioners to support counterterrorism and homeland security missions of anticipation, interdiction, prevention, preparedness and response to terrorist acts. ISI events were started in 2003. The events included the annual IEEE International Conference on ISI, Pacific Asia Workshop on ISI (PAISI), and European ISI Conference. Since 2009, we started the ISI-KDD workshop. More details about the ISI events can be found at http://www.isiconference.org/.

Using importance flooding to identify interesting networks of criminal activity

Effectively harnessing available data to support homeland-security-related applications is a major focus in the emerging science of intelligence and security informatics (ISI). Many studies have fo...

Using importance flooding to identify interesting networks of criminal activity

AbstractEffectively harnessing available data to support homeland‐security‐related applications is a major focus in the emerging science of intelligence and security informatics (ISI). Many studies have focused on criminal‐network analysis as a major challenge within the ISI domain. Though various methodologies have been proposed, none have been tested for usefulness in creating link charts. This study compares manually created link charts to suggestions made by the proposed importance‐flooding algorithm. Mirroring manual investigational processes, our iterative computation employs association‐strength metrics, incorporates path‐based node importance heuristics, allows for case‐specific notions of importance, and adjusts based on the accuracy of previous suggestions. Interesting items are identified by leveraging both node attributes and network structure in a single computation. Our data set was systematically constructed from heterogeneous sources and omits many privacy‐sensitive data elements such as case narratives and phone numbers. The flooding algorithm improved on both manual and link‐weight‐only computations, and our results suggest that the approach is robust across different interpretations of the user‐provided heuristics. This study demonstrates an interesting methodology for including user‐provided heuristics in network‐based analysis, and can help guide the development of ISI‐related analysis tools.

User acceptance of Intelligence and Security Informatics technology: A study of COPLINK

AbstractThe importance of Intelligence and Security Informatics (ISI) has significantly increased with the rapid and large‐scale migration of local/national security information from physical media to electronic platforms, including the Internet and information systems. Motivated by the significance of ISI in law enforcement (particularly in the digital government context) and the limited investigations of officers' technology‐acceptance decision‐making, we developed and empirically tested a factor model for explaining law‐enforcement officers' technology acceptance. Specifically, our empirical examination targeted the COPLINK technology and involved more than 280 police officers. Overall, our model shows a good fit to the data collected and exhibits satisfactory power for explaining law‐enforcement officers' technology acceptance decisions. Our findings have several implications for research and technology management practices in law enforcement, which are also discussed.

Intelligence and Security Informatics for Homeland Security: Information, Communication, and Transportation

Intelligence and security informatics (ISI) is an emerging field of study aimed at developing advanced information technologies, systems, algorithms, and databases for national- and homeland-security-related applications, through an integrated technological, organizational, and policy-based approach. This paper summarizes the broad application and policy context for this emerging field. Three detailed case studies are presented to illustrate several key ISI research areas, including cross-jurisdiction information sharing; terrorism information collection, analysis, and visualization; and smart-border and bioterrorism applications. A specific emphasis of this paper is to note various homeland-security-related applications that have direct relevance to transportation researchers and to advocate security informatics studies that tightly integrate transportation research and information technologies.