DocumentCode :
3048247
Title :
Data consolidation solution for internal security needs
Author :
Prasad, K. Hima ; Soni, Soujanya ; Faruquie, Tanveer A. ; Subramaniam, L. Venkata
Author_Institution :
IBM Res. India, New Delhi, India
fYear :
2012
fDate :
8-10 July 2012
Firstpage :
84
Lastpage :
89
Abstract :
The threats of the 21st century are too complex, difficult and time consuming to discern with traditional intelligence practices that shun advances in information technology and rely heavily on human experts. Good information is fundamental to understand and respond to 21st century national security threats. Without comprehensive information, decision-makers operate with a limited understanding of the threat horizon or the best means to address it. Required information exists across a variety of proprietary and open sources, and the volume of data available that might potentially contain relevant facts is simply too large and the bandwidth of the trained analysts is limited. Such information must be available in time-critical situations to be able to quickly connect the dots across various related pieces of information. It is imperative that decision-makers are provided intelligent tools that can automatically extract new relevant information from data without being explicitly asked, leading to actionable intelligence. To overcome these challenges we propose an information collection, management and analysis framework to meet the ever-growing threats to national security. The proposed framework establishes a collaborative environment to semi-automatically generate actionable intelligence by ensuring that the right people have access to all inclusive information at the right time. The core of this framework is to create a single view of entity by correlating information from different sources, stored in different formats. These sources can be passport, immigration, driving license, FIR records, Telecom and Utility services. The correlation algorithm is able to handle varied amount of noise in the data such as syntactic and semantic variations, format changes, spelling error, incomplete data, regional and linguistics variation as well as addition or removal of fields. The framework can further exploit the consolidated view to discover relationships between entities t- us expanding the reach for relevant information. The framework provides multiple avenues of interaction and the foresight needed to incorporate new sources of data as they arise in future.
Keywords :
data acquisition; decision making; groupware; information analysis; information management; information retrieval; national security; public administration; FIR record; actionable intelligence; collaborative environment; correlation algorithm; data consolidation solution; data source; decision-maker; driving license; human expert; immigration; information access; information analysis; information collection; information correlation; information management; information technology; intelligence practice; intelligent tool; internal security needs; linguistics variation; national security threat; open source; passport; regional variation; semantic variation; syntactic variation; telecom serivce; threat horizon; utility service; Cities and towns; Data models; Lead; Pattern matching; Standards; Vehicles; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics (SOLI), 2012 IEEE International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4673-2400-7
Type :
conf
DOI :
10.1109/SOLI.2012.6273509
Filename :
6273509
Link To Document :
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